Improvements Add CI, env vars; update Makefile/docs; refactor OpenAI, tools, tests #1
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…pplication, Introduced Local and Cloud support for SonarQube, removed .coverage with .gitignore
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WalkthroughAdds dual Sonar token support and CI workflows; splits Makefile sonar targets; updates coverage metadata; adds typing and timing return to Application.run_agent; refactors OpenAI, Calculator, and CurrencyConverter into helper-based implementations; reorganizes and expands numerous pytest suites and test utilities. Changes
Sequence Diagram(s)sequenceDiagram
autonumber
actor User
participant App as Application
participant Agent
Note over App: parse args, init agent
User->>App: run()
App->>App: run_agent() (start timer)
App->>Agent: query(question)
Agent-->>App: answer
App->>App: compute duration
App-->>User: (answer, processing_time)
sequenceDiagram
autonumber
participant OpenAI as OpenAIStrategy
participant API as OpenAI API
Note over OpenAI: query()
OpenAI->>API: POST /responses
API-->>OpenAI: response_data
OpenAI->>OpenAI: _extract_text_response(response_data)
OpenAI-->>Caller: text
Note over OpenAI: refine()
OpenAI->>API: POST /responses
API-->>OpenAI: response_data
OpenAI->>OpenAI: _extract_text_response(default="")
alt empty content
OpenAI-->>Caller: ToolPlan(suggestions=[])
else has content
OpenAI->>OpenAI: _parse_tool_plan(content)
OpenAI-->>Caller: ToolPlan
end
sequenceDiagram
autonumber
participant Tool as CurrencyConverter
participant API as Currency API
Note over Tool: execute(args)
Tool->>Tool: validate args (pydantic)
Tool->>API: GET /convert
API-->>Tool: raw_response
Tool->>Tool: _parse_response(raw_response)
Tool->>Tool: _get_converted_amount(request, response)
Tool-->>Caller: formatted string
alt HTTP 400
Tool-->>Caller: InvalidCurrencyError
else non-200
Tool-->>Caller: CurrencyAPIError
end
Estimated code review effort🎯 4 (Complex) | ⏱️ ~60–90 minutes Poem
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Actionable comments posted: 12
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⚠️ Outside diff range comments (2)
src/app.py (1)
44-47: Fix argparse/join bug: current configuration splits the question into characters
- With
nargs="?",args.questionis a string or None." ".join(args.question)will join individual characters, not words (e.g., "hello world" -> "h e l l o w o r l d").- Use
nargs="+"to capture one-or-more tokens and keep the join, or keepnargs="?"and avoid joining.Apply one of the following diffs (Option A recommended):
Option A — require ≥1 word and keep join:
- nargs="?", + nargs="+",Option B — keep optional single string and stop joining:
- self.question = " ".join(args.question).strip() + self.question = (args.question or "").strip()Also applies to: 65-75
README.md (1)
200-260: Makefile snippet under “Current Implementation” still showsmake sonar; repo/docs elsewhere usesonar_localandsonar_cloudThe earlier snippet is outdated and conflicts with later “Complete Makefile Commands Reference.” Update it to avoid confusion.
Suggested replacement:
# Code Quality make fmt # Format code with black make sonar_local # Run local SonarQube analysis (requires SONAR_TOKEN_LOCAL) make sonar_cloud # Run SonarCloud analysis (requires SONAR_TOKEN_CLOUD)
🧹 Nitpick comments (65)
.gitignore (2)
23-26: Fix typos and clarify comment headers for ignoresMinor polish for clarity and consistency.
-# Remove ScannarWork -.scannerwork - -#Removed -.coverage +# Ignore SonarQube scanner cache +.scannerwork + +# Coverage artifacts +.coverage
23-26: Also ignore other ephemeral coverage outputsTo keep diffs clean and avoid accidentally committing generated reports, ignore the common coverage outputs alongside .coverage. Clean already removes coverage.xml locally; aligning .gitignore avoids churn if the file is generated.
# Coverage artifacts .coverage +coverage.xml +htmlcov/.env.example (2)
4-6: Order keys alphabetically to satisfy dotenv-linter and reduce churnThe linter warnings point to ordering; reordering keys keeps the file stable and lint-clean.
-OPENAI_API_KEY=sk-REPLACE_ME -WEATHER_API_KEY=replace_me -GEMINI_API_KEY=replace_me -SONAR_TOKEN_LOCAL=replace_me -SONAR_TOKEN_CLOUD=replace_me +GEMINI_API_KEY=replace_me +OPENAI_API_KEY=sk-REPLACE_ME +SONAR_TOKEN_CLOUD=replace_me +SONAR_TOKEN_LOCAL=replace_me +WEATHER_API_KEY=replace_me
4-6: Document token naming differences between local CLI and GitHub ActionMakefile uses SONAR_TOKEN_LOCAL/SONAR_TOKEN_CLOUD, while the GitHub Sonar action expects SONAR_TOKEN. Add a brief comment to prevent confusion when setting env locally vs in CI.
# Example config (not required for the stubbed assignment) +# +# Note: +# - Local scans: export SONAR_TOKEN_LOCAL / SONAR_TOKEN_CLOUD (Makefile targets) +# - GitHub Actions Sonar step expects env var SONAR_TOKEN (set from repo secret).github/workflows/master.yml (7)
1-6: Trigger on pushes to master too; set least-privilege permissionsCurrent workflow runs only on PRs to master. If you also want checks on direct pushes (e.g., post-merge), add push trigger. Adding explicit permissions tightens security.
name: Master Tests on: pull_request: - branches: [master] + branches: [master] + push: + branches: [master] + +permissions: + contents: read + pull-requests: write
20-24: Create .env deterministically in one shot (avoid accidental duplicates)Using a here-doc truncates the file and avoids repeated appends or ordering issues across reruns.
- - name: Create .env file from secrets - run: | - echo "GEMINI_API_KEY=${{ secrets.GEMINI_API_KEY }}" >> .env - echo "OPENAI_API_KEY=${{ secrets.OPENAI_API_KEY }}" >> .env - echo "WEATHER_API_KEY=${{ secrets.WEATHER_API_KEY }}" >> .env + - name: Create .env file from secrets + run: | + cat > .env <<'EOF' + GEMINI_API_KEY=${{ secrets.GEMINI_API_KEY }} + OPENAI_API_KEY=${{ secrets.OPENAI_API_KEY }} + WEATHER_API_KEY=${{ secrets.WEATHER_API_KEY }} + EOF
32-36: Align token naming with repo conventions (SONAR_TOKEN_CLOUD)Elsewhere you introduced SONAR_TOKEN_CLOUD; mapping it here reduces cognitive overhead.
- name: SonarQube Scan uses: SonarSource/sonarqube-scan-action@v5 env: - SONAR_TOKEN: ${{ secrets.SONAR_TOKEN }} + SONAR_TOKEN: ${{ secrets.SONAR_TOKEN_CLOUD }}
37-38: Ensure .env cleanup runs even on failuresMark the cleanup step as always to avoid leaving secrets on the runner’s workspace when a prior step fails.
- - name: Cleanup .env - run: rm -f .env + - name: Cleanup .env + if: always() + run: rm -f .env
1-6: Consider pinning GitHub Actions by commit SHAFor supply-chain hardening, pin actions (checkout, setup-python, sonarqube-scan) to immutable SHAs and optionally keep a comment with the tag. This is a repo-wide policy choice; suggesting here for future hardening.
15-19: Retain actions/setup-python@v4 and add pip cachingVerified that the latest recommended major version is
actions/setup-python@v4; there is no v5 release yet. You can still enable pip caching in v4 for faster, more secure installs:- name: Set up Python - uses: actions/setup-python@v4 + uses: actions/setup-python@v4 with: python-version: "3.10" + cache: pip
20-24: Consider setting secrets as step environment variables instead of writing a.envfileCreating a
.envfile in CI is unnecessary when the application and tests read fromos.environ(withload_dotenv()as a fallback). You can simplify the workflow and reduce secret-handling risks by exporting your secrets directly on the GitHub Actions step.– In
.github/workflows/master.yml(lines 20–24), remove the block that echoes secrets into.env.
– Instead, declare each secret under theenv:section of the relevant job or step:jobs: test: runs-on: ubuntu-latest env: GEMINI_API_KEY: ${{ secrets.GEMINI_API_KEY }} OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }} WEATHER_API_KEY: ${{ secrets.WEATHER_API_KEY }} steps: # ...– The existing calls to
load_dotenv()(insrc/app.pyand test fixtures) will no-op when no.envfile is present, but your secrets will still be available viaos.environ.
– This change both streamlines the CI configuration and avoids writing sensitive data to disk.Makefile (4)
4-4: Add a conventional default target "all" to satisfy checkmake and improve UXProvide an easy entrypoint and resolve the static check about missing "all".
-.PHONY: setup install test run fmt sonar_local sonar_cloud clean +.PHONY: all setup install test run fmt sonar_local sonar_cloud clean + +all: install test
23-30: DRY up Sonar settings and include coverage report pathCentralize constants and surface coverage to Sonar in local scans.
+SONAR_PROJECT_KEY ?= AIToolProject +SONAR_SOURCES ?= . +SONAR_LOCAL_URL ?= http://localhost:4000 +SONAR_CLOUD_URL ?= https://sonarcloud.io +SONAR_COVERAGE ?= coverage.xml + sonar_local: @if [ -z "$$SONAR_TOKEN_LOCAL" ]; then \ echo "❌ SONAR_TOKEN_LOCAL environment variable is required"; \ echo "Export your token: export SONAR_TOKEN_LOCAL=your_token_here"; \ exit 1; \ fi - sonar-scanner -Dsonar.projectKey=AIToolProject -Dsonar.sources=. -Dsonar.host.url=http://localhost:4000 -Dsonar.login=$$SONAR_TOKEN_LOCAL + sonar-scanner \ + -Dsonar.projectKey=$(SONAR_PROJECT_KEY) \ + -Dsonar.sources=$(SONAR_SOURCES) \ + -Dsonar.python.coverage.reportPaths=$(SONAR_COVERAGE) \ + -Dsonar.host.url=$(SONAR_LOCAL_URL) \ + -Dsonar.login=$$SONAR_TOKEN_LOCAL
32-39: Mirror DRY constants and coverage for SonarCloudKeeps both targets aligned and ensures coverage is ingested in cloud scans too.
sonar_cloud: @if [ -z "$$SONAR_TOKEN_CLOUD" ]; then \ echo "❌ SONAR_TOKEN_CLOUD environment variable is required"; \ echo "Export your token: export SONAR_TOKEN_CLOUD=your_token_here"; \ exit 1; \ fi - sonar-scanner -Dsonar.projectKey=AIToolProject -Dsonar.sources=. -Dsonar.host.url=https://sonarcloud.io -Dsonar.login=$$SONAR_TOKEN_CLOUD + sonar-scanner \ + -Dsonar.projectKey=$(SONAR_PROJECT_KEY) \ + -Dsonar.sources=$(SONAR_SOURCES) \ + -Dsonar.python.coverage.reportPaths=$(SONAR_COVERAGE) \ + -Dsonar.host.url=$(SONAR_CLOUD_URL) \ + -Dsonar.login=$$SONAR_TOKEN_CLOUD
44-51: Extend clean to remove htmlcov and .scannerwork directoriesThese are generated by coverage and Sonar respectively; safe to remove locally.
clean: rm -rf .pytest_cache/ rm -rf __pycache__/ rm -rf */__pycache__/ rm -rf */*/__pycache__/ rm -f coverage.xml rm -f .coverage + rm -rf htmlcov/ + rm -rf .scannerwork/src/lib/tools/currency_converter.py (4)
64-74: Detect missing rates by key presence, not by zero valueZero is an ambiguous sentinel; explicit membership check avoids false positives.
def _get_converted_amount( self, request: CurrencyConversionRequest, response: CurrencyConversionResponse ) -> float: """Extract and validate the converted amount.""" - converted_amount = response.get_converted_amount(request.to_currency) - if converted_amount == 0.0: + if request.to_currency not in response.rates: raise ConversionRateError( f"Conversion rate not found for {request.to_currency}" ) + converted_amount = response.get_converted_amount(request.to_currency) return converted_amount
89-96: Update helper to work with structured errors or remove itIf you keep a helper, make it consume the structured errors list for accuracy. Otherwise, you can inline the logic above and delete this method.
- def _extract_missing_field(self, error_msg: str) -> str: - """Extract which field was missing from error message.""" - for line in error_msg.split("\n"): - line = line.strip() - if line in {"from", "to", "amount"}: - return line - return "unknown" + def _extract_missing_field(self, errors) -> str: + """Extract missing field name from pydantic 'errors()' structure.""" + try: + for err in errors: + loc = err.get("loc") + if loc: + return str(loc[-1]) + except Exception: + pass + return "unknown"
21-23: Nit: use snake_case for attribute namesPython style prefers snake_case; rename apiClient -> api_client.
def __init__(self): - self.apiClient = ApiClient(base_url=CURRENCY_API_URL) + self.api_client = ApiClient(base_url=CURRENCY_API_URL)And update the call site in this file:
- raw_response = self.apiClient.get( + raw_response = self.api_client.get( "/latest", params=request.to_query_params() )
24-41: Add targeted tests for error mapping pathsGiven the refactor, ensure coverage for:
- missing 'from'/'to' (ValidationError -> ConversionRequestError with field name)
- non-positive amount
- invalid currency (HTTP 400 -> InvalidCurrencyError)
- rate limit (HTTP 429 -> CurrencyAPIError)
- malformed JSON -> CurrencyAPIError
I can generate pytest tests with mocked ApiClient.get returning crafted Response objects if you want.
src/app.py (3)
24-28: Good type annotations; consider constraining agent_typeThe explicit annotations improve clarity. For stronger safety, consider
Literal["gemini","openai"]or anEnumforagent_type. This also surfaces invalid values earlier in type-checking.Example:
-from typing import ... +from typing import Literal, ... - self.agent_type: str = "gemini" + self.agent_type: Literal["gemini", "openai"] = "gemini"Optionally align CLI with choices (see separate comment).
77-82: Align CLI with supported agent types via argparse choicesPrevent invalid agent values at parse time instead of falling back later. This makes UX clearer and simplifies
initialize_agent().self.parser.add_argument( "-a", "--agent", type=str, default="gemini", - help="The agent to use. Options: gemini, openai", + choices=["gemini", "openai"], + help="The agent to use.", )If you intentionally prefer “graceful fallback,” you can skip this.
111-116: Use a monotonic clock and add non-None assertions inrun_agentAll callers of
run_agentsafely unpack both the answer and timing tuple, so switching to a monotonic timer and adding type-safety asserts won’t break existing code.Changes needed in
src/app.pyaround lines 111–116:
- Add
assertguards forself.agentandself.questionto satisfy type checkers.- Replace wall-clock
time.time()with monotonictime.perf_counter()for elapsed-time measurement.def run_agent(self) -> tuple[str, float]: """Run the agent""" - start_time = time.time() - answer = self.agent.answer(self.question) - end_time = time.time() - return answer, end_time - start_time + assert self.agent is not None, "Agent not initialized" + assert self.question is not None, "Question not set" + start = time.perf_counter() + answer = self.agent.answer(self.question) + end = time.perf_counter() + return answer, end - startThis ensures stable, forward-only timing and provides clearer contracts for
agentandquestion.src/lib/tools/calculator.py (2)
101-111: Add unary minus support (e.g., “-5+3”, “3-2”)*Current tokenizer and parser treat
-only as a binary operator, causing “insufficient operands” on leading or parenthesized negatives. Minimal fix: translate unary-into0 <expr> -during infix-to-postfix.- for token in tokens: + prev_token: str | None = None + for token in tokens: if self._is_number(token): output.append(token) elif token in precedence: - self._handle_operator(token, stack, output, precedence) + # Handle unary minus: if '-' at start or after an opening bracket or another operator + if token == "-" and (prev_token is None or prev_token in opening or prev_token in precedence): + output.append("0") + self._handle_operator(token, stack, output, precedence, associativity) elif token in opening: stack.append(token) elif token in closing: - self._handle_closing_bracket(token, stack, output, closing) + self._handle_closing_bracket(token, stack, output, closing) else: raise TokenizationError(f"Unknown token: '{token}'") + prev_token = tokenIf you prefer a true unary operator (
u-) with arity 1, we can implement that too, but the “prepend 0” approach is simpler and non-invasive.
53-56: Number detection is limited (no scientific notation, no leading ‘+’, no underscores)Not a blocker if tests don’t require it, but consider using a stricter/clearer parser (e.g., attempt
float(token)in_is_number) to centralize validation and accept wider numeric forms.Example:
- return token.replace(".", "", 1).isdigit() + try: + float(token) + return True + except ValueError: + return FalseThis also aligns behavior with
_eval_postfixwhich already relies onfloat(...).README.md (2)
88-117: Polish grammar/punctuation in Design Patterns bulletsMinor nits flagged (articles/periods). Tighten phrasing for consistency and add terminal periods.
-- **Purpose**: Defines the skeleton of the agent workflow while allowing subclasses to override specific steps -- **Implementation**: The `answer()` method provides a template with hooks for preprocessing, tool execution, and response fusion +- **Purpose**: Defines the skeleton of the agent workflow while allowing subclasses to override specific steps. +- **Implementation**: The `answer()` method provides a template with hooks for preprocessing, tool execution, and response fusion. @@ -- **Purpose**: Allows switching between different LLM providers (Gemini, OpenAI) without changing client code +- **Purpose**: Allows switching between different LLM providers (Gemini, OpenAI) without changing client code. @@ -- **Purpose**: Encapsulates tool execution as objects, enabling parameterization and queuing +- **Purpose**: Encapsulates tool execution as objects, enabling parameterization and queuing. @@ -- **Purpose**: Ensures single instances of loggers across the application +- **Purpose**: Ensures single instances of loggers across the application. @@ -- **Purpose**: Centralizes agent creation logic, where agents are instantiated based on user input -- **Implementation**: Factory method for creating agents based on user input +- **Purpose**: Centralizes agent creation logic where agents are instantiated based on user input. +- **Implementation**: Factory method for creating agents based on user input.
1168-1186: Inconsistency with workflow: README claims multi-version testing for improvements, but workflow runs only Python 3.10README says the Improvements workflow uses “Multi-version Python testing,” yet
.github/workflows/improvements.ymlsets onlypython-version: "3.10". Align docs or expand the matrix.If expanding matrix:
strategy: matrix: python-version: ["3.10", "3.11", "3.12"] steps: - uses: actions/setup-python@v5 with: python-version: ${{ matrix.python-version }} cache: "pip".github/workflows/improvements.yml (3)
20-25: Handling secrets via .env is fine; consider using environment variables directlyWriting secrets to
.envworks withpython-dotenv, but you can export them to the job environment ($GITHUB_ENV) and skip file creation/deletion. This reduces file-based secret handling.Alternative:
- name: Export env run: | { echo "GEMINI_API_KEY=${{ secrets.GEMINI_API_KEY }}"; echo "OPENAI_API_KEY=${{ secrets.OPENAI_API_KEY }}"; echo "WEATHER_API_KEY=${{ secrets.WEATHER_API_KEY }}"; } >> "$GITHUB_ENV"If you keep
.env, see next comment to ensure cleanup always runs.
37-38: Ensure .env cleanup runs even on failuresUse
if: always()to guarantee cleanup runs after test/scan failures.- - name: Cleanup .env - run: rm -f .env + - name: Cleanup .env + if: always() + run: rm -f .env
29-36: Confirm and configure Sonar token and host URL in your workflowsBased on the checks:
- Both
.github/workflows/master.ymland.github/workflows/improvements.ymlreference onlySONAR_TOKEN: ${{ secrets.SONAR_TOKEN }}.- Your
sonar-project.propertiesdoes not declare asonar.host.url(nor does the workflow exportSONAR_HOST_URL).Please ensure you’re scanning the intended instance:
• If you only target SonarCloud, the default host (
https://sonarcloud.io) will be used automatically, and your singleSONAR_TOKENsecret is sufficient.
• If you also scan a self-hosted SonarQube (dual-token setup), you should:
- Use distinct secrets (e.g.
SONAR_TOKEN_CLOUDvs.SONAR_TOKEN_QUBE) and update the workflow to reference the correct one.- Expose the target host URL either in
sonar-project.properties(e.g.sonar.host.url=https://your-qube.example.com) or via an environment variable:.github/workflows/improvements.yml: SonarQube Scan step - name: SonarQube Scan uses: SonarSource/sonarqube-scan-action@v5 env: - SONAR_TOKEN: ${{ secrets.SONAR_TOKEN }} + SONAR_TOKEN: ${{ secrets.SONAR_TOKEN }} # or ${{ secrets.SONAR_TOKEN_CLOUD }} / QUBE + SONAR_HOST_URL: ${{ secrets.SONAR_HOST_URL }} # set to https://sonarcloud.io or your SonarQube URLRepeat the same updates in
master.ymlif needed. This will guarantee scans target the correct service and token.tests/utils/stubs/tools/weather.py (1)
26-26: Prefer modern typing for Dict/Any (optional)If targeting Python 3.10+, you can use built-in generics and simplify imports.
-from typing import Any, Dict +from typing import Any @@ - def execute(self, args: Dict[str, Any]) -> Dict[str, Any]: + def execute(self, args: dict[str, Any]) -> dict[str, Any]:tests/utils/stubs/llm.py (2)
109-112: Stub query() returns None; make the contract explicit.query is annotated to return str but currently returns None. Prefer returning an empty string or raising NotImplementedError to avoid silent None propagation in tests.
Apply one of:
class StubLLMStrategy(LLMStrategy): def query(self, prompt: str) -> str: - pass + # Stub: not used in current tests; fail fast if accidentally called + raise NotImplementedError("StubLLMStrategy.query is not implemented for tests")or
class StubLLMStrategy(LLMStrategy): def query(self, prompt: str) -> str: - pass + return ""
126-127: Redundant recomputation of cities.cities was already computed (Line 114). Recomputing it here is unnecessary and may confuse readers.
- cities = extract_cities(prompt)tests/agent/test_openai_agent.py (5)
53-71: Strengthen assertions in simple query path.Currently only checks non-empty success. Assert calls to set_action/execute and (optionally) the final answer content to catch regressions.
- with patch.object( - self.agent.llm_strategy, "refine", return_value=mock_tool_plan - ), patch.object( - self.agent.llm_strategy, "query", return_value="The answer is 4" - ), patch.object( - self.agent.tool_invoker, "set_action" - ), patch.object( - self.agent.tool_invoker, "execute", return_value="4" - ): + with patch.object( + self.agent.llm_strategy, "refine", return_value=mock_tool_plan + ), patch.object( + self.agent.llm_strategy, "query", return_value="The answer is 4" + ), patch.object( + self.agent.tool_invoker, "set_action" + ) as m_set_action, patch.object( + self.agent.tool_invoker, "execute", return_value="4" + ) as m_execute: result = self.agent.answer("What is 2+2?") assert isinstance(result, str) assert len(result) > 0 assert result != FAILED_AGENT_MESSAGE + m_set_action.assert_called_once_with("calculator") + m_execute.assert_called_once_with({"expr": "2+2"}) + assert "4" in result # optional but useful sanity check
72-94: Multiple tools: assert invocations and order.You verify non-failure, but not that both tools ran. Consider asserting both calls and order to detect sequencing regressions.
- ), patch.object( - self.agent.tool_invoker, "set_action" - ), patch.object( - self.agent.tool_invoker, "execute", side_effect=["18°C", "15°C"] - ): + ), patch.object( + self.agent.tool_invoker, "set_action" + ) as m_set, patch.object( + self.agent.tool_invoker, "execute", side_effect=["18°C", "15°C"] + ) as m_exec: result = self.agent.answer("What's the weather in Paris and London?") assert isinstance(result, str) assert len(result) > 0 assert result != FAILED_AGENT_MESSAGE + assert m_set.call_args_list == [(( "weather",),), (("weather",),)] + assert m_exec.call_args_list == [(({"city": "Paris"},),), (({"city":"London"},),)]
95-112: Tool failure path: assert FAILED_AGENT_MESSAGE.This scenario should return the sentinel error message. Tighten the assertion to detect accidental behavior changes.
result = self.agent.answer("What is 2+2?") - assert isinstance(result, str) - assert len(result) > 0 + assert result == FAILED_AGENT_MESSAGE
168-197: Execution order: assert exact sequence for deterministic behavior.You collect execution_order but only check membership. As order typically follows suggestions, assert the sequence.
- assert "weather" in execution_order - assert "knowledge_base" in execution_order + assert execution_order == ["weather", "knowledge_base"]
240-263: Tool plan logging: consider asserting structure.You only assert non-empty list. Optionally assert that the first item has expected keys/tool to detect schema/logging drift.
logged_plan = mock_log.call_args[0][0] assert isinstance(logged_plan, list) assert len(logged_plan) > 0 + assert {"tool", "args", "depends_on"}.issubset(logged_plan[0].keys())tests/tools/test_calculator.py (2)
44-47: Typo: “paranthesis” → “parenthesis”.Rename for clarity and discoverability in test reports.
- def test_paranthesis_expression(self): + def test_parenthesis_expression(self): result = self.calc.execute({"expr": "(1 + 2) * 3"}) assert result == "9.0"
56-73: Great complex coverage. Consider a few negative cases.Nice coverage of precedence and mixed brackets. Optionally add:
- Division by zero raises EvaluationError
- Mismatched brackets raise BracketMismatchError
- Unknown token raises TokenizationError
I can draft targeted tests mirroring your fixture style if helpful.
tests/tools/test_currency_converter.py (1)
118-124: Combine nested context managers per Ruff SIM117.Use a single with statement to simplify nested patch/raises blocks.
- with patch.object(self.converter.apiClient, "get", return_value=mock_response): - with pytest.raises(InvalidCurrencyError, match="Invalid currency code"): - self.converter.execute( - {"from": "INVALID", "to": "EUR", "amount": 100.0} - ) + with patch.object(self.converter.apiClient, "get", return_value=mock_response), \ + pytest.raises(InvalidCurrencyError, match="Invalid currency code"): + self.converter.execute({"from": "INVALID", "to": "EUR", "amount": 100.0})Apply same pattern to:
- Lines 127-130 (API server error)
- Lines 136-139 (missing conversion rate)
- Lines 142-145 (malformed API response)
- Lines 147-151 (network error)
# Example for server error: - with patch.object(self.converter.apiClient, "get", return_value=mock_response): - with pytest.raises(CurrencyAPIError, match="Currency API error"): - self.converter.execute({"from": "USD", "to": "EUR", "amount": 100.0}) + with patch.object(self.converter.apiClient, "get", return_value=mock_response), \ + pytest.raises(CurrencyAPIError, match="Currency API error"): + self.converter.execute({"from": "USD", "to": "EUR", "amount": 100.0})Also applies to: 126-130, 132-139, 141-145, 147-151
tests/llm/test_gemini.py (4)
64-66: Combine nested context managers (SIM117) to reduce indentation and noise.Use a single with statement for patching and exception assertions.
- with patch.object(self.strategy.apiClient, "post", return_value=mock_response): - with pytest.raises(GeminiError, match="Error querying Gemini"): - self.strategy.query("Test query") + with patch.object(self.strategy.apiClient, "post", return_value=mock_response), \ + pytest.raises(GeminiError, match="Error querying Gemini"): + self.strategy.query("Test query")Apply similarly to the other blocks indicated:
- Lines 72-74 (malformed response)
- Lines 78-82 (API error)
- Lines 140-144 (refine API error)
- Lines 153-155 (refine invalid JSON)
- Lines 249-251 (refine whitespace response)
Also applies to: 72-74, 78-82, 140-144, 153-155, 249-251
101-105: Strengthen assertions for the JSON array parse case.
len(result.suggestions) >= 0is tautological. Assert the expected suggestion and payload.- assert isinstance(result, ToolPlan) - assert len(result.suggestions) >= 0 + assert isinstance(result, ToolPlan) + assert len(result.suggestions) == 1 + assert result.suggestions[0].tool == "calculator" + assert result.suggestions[0].args.get("expr") == "2+2"
123-127: Strengthen assertions for embedded-JSON parsing.Validate content and fields, not only type/length.
- assert isinstance(result, ToolPlan) - assert len(result.suggestions) >= 0 + assert isinstance(result, ToolPlan) + assert len(result.suggestions) > 0 + assert result.suggestions[0].tool == "weather" + assert result.suggestions[0].args.get("city") == "Paris"
41-46: Clarify expected behavior when GEMINI_API_KEY is absent.Currently the strategy sets header
"X-goog-api-key": None. Either:
- don’t set the header when the key is missing, or
- raise a configuration error early.
Consider adding an assertion here to document the intended behavior (e.g., header not present), and align implementation accordingly in
src/lib/llm/gemini.py.Would you like me to open a follow-up to enforce “fail fast” when API keys are missing?
tests/agent/test_gemini_agent.py (2)
279-283: Assert deterministic tool invocation order.Since no dependencies exist in this scenario, asserting exact order increases confidence.
- assert "weather" in execution_order - assert "knowledge_base" in execution_order + assert execution_order == ["weather", "knowledge_base"]
163-166: Also assert we don’t return the failure sentinel on tool error.The current assertions allow regressions where the agent might return the failure message. Tighten the check.
- assert isinstance(result, str) - assert len(result) > 0 + assert isinstance(result, str) + assert result != FAILED_AGENT_MESSAGEsrc/lib/llm/openai.py (2)
46-57: Make_extract_text_responseresilient to multiple outputs and missing text.
- Iterate all outputs/content items to find the first
output_text.- Only return default if provided; otherwise raise to avoid returning
None.- def _extract_text_response(self, response_data: dict, default: str = None) -> str: + def _extract_text_response(self, response_data: dict, default: str | None = None) -> str: """Extract text from OpenAI-like response JSON.""" - outputs = response_data.get("output", []) - if not outputs: - raise OpenAIError("No output found in OpenAI response") - - content_items = outputs[0].get("content", []) - for item in content_items: - if item.get("type") == "output_text": - return item.get("text", default) - raise OpenAIError("No text response found in OpenAI output") + outputs = response_data.get("output", []) + if not outputs: + raise OpenAIError("No output found in OpenAI response") + + for out in outputs: + for item in out.get("content", []): + if item.get("type") == "output_text": + text = item.get("text") + if text is not None: + return text + + if default is not None: + return default + raise OpenAIError("No text response found in OpenAI output")
58-62: Use a non-greedy JSON array match to avoid over-capture.Greedy
\[.*\]can span unintended content. Prefer\[.*?\].- json_match = re.search(r"\[.*\]", content, re.DOTALL) + json_match = re.search(r"\[.*?\]", content, re.DOTALL) json_str = json_match.group(0) if json_match else content return ToolPlan.from_json_string(json_str)tests/test_smoke.py (1)
58-61: Tighten numeric assertions to avoid false positives.Matching
"2"as a substring can pass on unrelated outputs. Use a numeric extraction with boundaries.- assert any(answer in out for answer in ["2", "2.0"]) or "2" in out.replace(".", "") + import re + m = re.search(r'(?<!\d)(2(?:\.0+)?)\b', out) + assert m, f"expected '2' or '2.0' in output, got: {out!r}"Apply to the Gemini and OpenAI sections of the same test.
Also applies to: 62-65, 66-69
tests/llm/test_llm_stub.py (1)
42-47: Optionally assert the concrete tool for currency conversion.If the stub is expected to always include
currency_converter, make the test stricter to catch accidental regressions.- tools = [s.tool for s in plan.suggestions] - assert any(t in ["calculator", "currency_converter"] for t in tools) + tools = [s.tool for s in plan.suggestions] + assert "currency_converter" in toolstests/tools/test_weather.py (5)
14-14: Remove redundant usefixtures decorator; autouse fixture already guarantees executionThe class-level
@pytest.mark.usefixtures("weather_fixture")is unnecessary because theweather_fixtureis markedautouse=True. Drop the decorator to reduce noise.-@pytest.mark.usefixtures("weather_fixture") +# autouse fixture below makes explicit usefixtures unnecessary
110-116: Combine nested context managers for conciseness (SIM117)You can merge the nested
withstatements into a singlewithfor better readability and to satisfy Ruff SIM117.-with patch.object( - self.weather.apiClient, - "get", - return_value=self._mock_response(404, text="city not found"), -): - with pytest.raises(CityNotFoundError, match="City 'InvalidCity' not found"): - self.weather.execute({"city": "InvalidCity"}) +with patch.object( + self.weather.apiClient, + "get", + return_value=self._mock_response(404, text="city not found"), +), pytest.raises(CityNotFoundError, match="City 'InvalidCity' not found"): + self.weather.execute({"city": "InvalidCity"})
134-142: Assert full API error message (status code and text) to tighten expectationsImplementation raises
WeatherAPIError(f"Weather API error: {status_code} - {text}"). Matching the full message ensures we catch regressions in error formatting.- with pytest.raises(WeatherAPIError, match="Weather API error"): - self.weather.execute({"city": "London"}) + with pytest.raises( + WeatherAPIError, match=f"Weather API error: {status_code} - {text}" + ): + self.weather.execute({"city": "London"})
24-31: DRY the _mock_response helper across test modulesThis helper duplicates patterns used in other suites (e.g., Gemini/OpenAI tests). Consider moving a generic response factory to tests/conftest.py (or tests/utils/factories.py) and reuse it here to reduce duplication.
Would you like me to extract a shared fixture (e.g.,
make_response) and update callers across tests?
51-57: Optional: Verify API request params (q/appid) are passed to ApiClient.getA small addition can assert we pass both the normalized city and API key to the underlying client, catching regressions in request construction.
Example add-on (outside this hunk):
def test_request_params_include_city_and_appid(self): with patch.object(self.weather.apiClient, "get") as mock_get: self.weather.execute({"city": "London"}) args, kwargs = mock_get.call_args assert args[0] == "" assert "params" in kwargs assert kwargs["params"]["q"].lower() == "london" assert kwargs["params"]["appid"] == "test_api_key"tests/llm/test_openai.py (4)
86-106: Strengthen assertion: ensure at least one suggestion is returned
len(result.suggestions) >= 0is always true and won’t catch regressions.-assert len(result.suggestions) >= 0 +assert len(result.suggestions) > 0
65-67: Combine nested context managers (SIM117)Merge
patch.objectandpytest.raisesinto a singlewithfor brevity and to satisfy the linter.-with patch.object(self.strategy.apiClient, "post", return_value=mock_response): - with pytest.raises(OpenAIError, match="Error querying OpenAI"): - self.strategy.query("Test query") +with patch.object(self.strategy.apiClient, "post", return_value=mock_response), \ + pytest.raises(OpenAIError, match="Error querying OpenAI"): + self.strategy.query("Test query")Repeat as desired for similar spots (Lines 74-76, 83-85, 133-136, 142-144, 154-156).
17-23: Remove unnecessary load_dotenv() in testsThe fixture patches the environment directly; loading from .env isn’t needed and may introduce flakiness.
- load_dotenv() with patch.dict(os.environ, {"OPENAI_API_KEY": "test-api-key"}): self.strategy = OpenAIStrategy()
189-196: Assert system prompt structure at the call site tooYou already validate the prompt via
_get_system_prompt. Also validate that the request issued byrefine()includes the required sections.request_data = kwargs["json_data"] assert request_data["model"] == OPENAI_MODEL assert "input" in request_data assert "test prompt" in request_data["input"] +assert "Role:" in request_data["input"] +assert "Context:" in request_data["input"] +assert "Response Format:" in request_data["input"]tests/tools/test_weather_stub.py (3)
83-89: Make assertion resilient to normalizationIf
WeatherRequestchanges normalization rules, this test could become brittle. Compare lowercased/trimmed values instead of exact case.-assert result["city"] == input_city +assert result["city"].lower() == input_city.lower()
99-112: Also validate 'raw' field type in the stub’s responseThe stub promises a "raw" temperature string. Add a type check to catch accidental regressions.
assert expected_keys.issubset(result.keys()) assert isinstance(result["temp_c"], float) assert isinstance(result["humidity"], int) assert isinstance(result["wind_speed"], float) assert isinstance(result["description"], str) assert isinstance(result["response"], str) assert isinstance(result["city"], str) +assert isinstance(result["raw"], str)
17-56: Reduce duplication by deriving expected metadata from constantsHard-coding per-city expectations here can drift from
tests/utils/constants/weather.py. Consider importingWEATHER_METADATAand constructing expectations from the source of truth.Example (outside this hunk): compute
expectedinside the test usingCITY_TEMPERATUREandWEATHER_METADATAto avoid duplicating numbers/strings in parameters.tests/test_api.py (3)
98-107: Strengthen POST test by asserting call argumentsYou only assert the call occurred. Verifying URL, headers, and payload will catch regressions in request construction.
result = client.post("/create", data={"x": 1}) assert result == response -mock_post.assert_called_once() +mock_post.assert_called_once_with( + "https://api.example.com/create", + data={"x": 1}, + json=None, + headers={}, + timeout=10, +)
108-116: Add a test for JSON body auto 'Content-Type' injection
post()injects "Content-Type: application/json" whenjson_datais provided and header isn’t set. Add a dedicated test to lock this behavior.Example addition (outside this hunk):
def test_post_sets_json_content_type_when_json_data(self, client, mock_response): response = mock_response(200) with patch("requests.post", return_value=response) as mock_post, patch("src.lib.api.api_logger"): client.post("/json-endpoint", json_data={"a": 1}) mock_post.assert_called_once_with( "https://api.example.com/json-endpoint", data=None, json={"a": 1}, headers={"Content-Type": "application/json"}, timeout=10, )
167-180: Header override test is good; consider adding a variant for merging multi-keysCurrent assertion focuses on overriding "Content-Type". A second case with multiple default headers (e.g., User-Agent + Authorization) would ensure other headers are preserved while overriding the target one.
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⚠️ Outside diff range comments (5)
README.md (5)
200-253: Resolve Makefile command inconsistency (sonar vs sonar_local/sonar_cloud)Earlier you document
make sonarbut later introducemake sonar_localandmake sonar_cloud. Pick one approach. If dual tokens are the new standard, remove the oldsonarreferences in docs to avoid confusion.Apply this diff to the earlier “Available Commands” and snippet:
-# Code Quality -make fmt # Format code with black -make sonar # Run SonarQube analysis (requires SONAR_TOKEN) +# Code Quality +make fmt # Format code with black +make sonar_local # Run local SonarQube analysis (requires SONAR_TOKEN_LOCAL) +make sonar_cloud # Run SonarCloud analysis (requires SONAR_TOKEN_CLOUD)-# SonarQube analysis -sonar: - sonar-scanner -Dsonar.projectKey=AIToolProject -Dsonar.sources=. -Dsonar.host.url=http://localhost:4000 -Dsonar.login=$$SONAR_TOKEN +# SonarQube analysis +sonar_local: + sonar-scanner -Dsonar.projectKey=ai-tool-agent-system -Dsonar.sources=src -Dsonar.host.url=http://localhost:4000 -Dsonar.login=$$SONAR_TOKEN_LOCAL + +sonar_cloud: + sonar-scanner -Dsonar.projectKey=ai-tool-agent-system -Dsonar.sources=src -Dsonar.organization=<your_org> -Dsonar.login=$$SONAR_TOKEN_CLOUDAlso applies to: 715-720
916-937: Align CI Sonar step with dual-token model and correct secret nameThe workflow uses a single
SONAR_TOKEN, but the README elsewhere standardizes onSONAR_TOKEN_CLOUD. Unify the secret name and clarify that SonarCloud must use the cloud token.- - name: SonarQube Scan - uses: SonarSource/sonarqube-scan-action@v5 - env: - SONAR_TOKEN: ${{ secrets.SONAR_TOKEN }} + - name: SonarCloud Scan + uses: SonarSource/sonarqube-scan-action@v5 + env: + SONAR_TOKEN: ${{ secrets.SONAR_TOKEN_CLOUD }}
176-190: Update README dependency pins to match requirements.txtThe pinned versions in README should exactly mirror those in requirements.txt to prevent drift:
• pytest-cov is pinned as 6.0.0 in README but 6.2.1 in requirements.txt
• The package name for typing extensions uses a hyphen in README (“typing-extensions”) but an underscore in requirements.txt (“typing_extensions”)Suggested diff:
@@ README.md (Lines 178–183) - pytest-cov==6.0.0 # Coverage reporting + pytest-cov==6.2.1 # Coverage reporting - typing-extensions==4.14.1 # Enhanced type hints + typing_extensions==4.14.1 # Enhanced type hints
121-172: Directory structure in README.md needs to match actual layoutThe tree slice in README.md (lines 121–172) lists
constants/,data/,lib/, etc. as top-level directories, but in the repository these all live undersrc/(e.g.,src/lib/agents/base.py,src/constants/api.py,src/data/schemas/api_logging.py). Mixing both styles will confuse contributors. Please update the snippet to reflect the real structure, for example:src/ ├── main.py # CLI entry point ├── requirements.txt # Python dependencies ├── Makefile # Build and test automation ├── conftest.py # Pytest configuration ├── constants/ # Application constants │ ├── api.py │ ├── llm.py │ ├── messages.py │ └── tools.py ├── data/ # Data files and schemas │ ├── knowledge_base.json │ └── schemas/ │ ├── api_logging.py │ ├── currency.py │ ├── knowledge_base.py │ ├── tool.py │ └── weather.py ├── lib/ # Core application logic │ ├── agents/ │ │ ├── base.py │ │ ├── gemini.py │ │ └── openai.py │ ├── api.py │ ├── errors/ │ ├── llm/ │ ├── loggers/ │ └── tools/ ├── logs/ # Application logs (auto-created) └── tests/ # Test suite ├── agent/ ├── llm/ ├── tools/ └── utils/— or adjust code references to drop the
src/prefix if you prefer a flat layout. Keeping both will only lead to confusion.
644-669: Synchronize README test metrics with CI outputsThe test counts and coverage numbers in README.md are out of date. Our CI currently reports only 148 test functions and 85.61 percent line coverage (via coverage.xml), not 166 tests and ≥ 90 percent coverage:
- README.md (lines 644–669):
- “166 tests achieving 90%+ code coverage” should be updated to reflect the actual count (148 tests) and coverage (85.61%), or rephrased without exact figures.
- README.md (lines 862–871):
- Apply the same update or abstraction for the metrics in this section.
To prevent this drift going forward, consider one of the following:
- Automate metrics injection in your CI pipeline so that the README always displays up-to-date numbers.
- Use more generic phrasing (e.g., “over 140 tests and ~85% coverage”) to avoid hard-coded values.
Please update or refactor these sections accordingly.
♻️ Duplicate comments (1)
README.md (1)
324-331: Fix environment variables table formatting/clarityThis repeats an earlier comment; the backslashes around the asterisk and code ticks in the table cause inconsistent rendering. Use plain text in table cells and let the footnote explain Optional*.
Apply:
-| Variable | Required | Purpose | Example | -| ------------------- | ---------- | --------------------------- | --------------- | -| `WEATHER_API_KEY` | Yes | OpenWeatherMap API access | `abc123def456` | -| `GEMINI_API_KEY` | Optional\* | Google Gemini API access | `xyz789uvw012` | -| `OPENAI_API_KEY` | Optional\* | OpenAI API access | `sk-proj-...` | -| `SONAR_TOKEN_LOCAL` | Optional | Local SonarQube integration | `squ_abc123...` | -| `SONAR_TOKEN_CLOUD` | Optional | SonarCloud integration | `squ_def456...` | +| Variable | Required | Purpose | Example | +|-------------------|----------|-----------------------------|----------------| +| WEATHER_API_KEY | Yes | OpenWeatherMap API access | abc123def456 | +| GEMINI_API_KEY | Optional*| Google Gemini API access | xyz789uvw012 | +| OPENAI_API_KEY | Optional*| OpenAI API access | sk-proj-... | +| SONAR_TOKEN_LOCAL | Optional | Local SonarQube integration | squ_abc123... | +| SONAR_TOKEN_CLOUD | Optional | SonarCloud integration | squ_def456... |
🧹 Nitpick comments (2)
README.md (2)
90-117: Minor grammar/clarity nits in Design Patterns sectionA few micro-edits improve readability and parallelism; content is otherwise correct.
-**Purpose**: Defines the skeleton of the agent workflow while allowing subclasses to override specific steps -**Implementation**: The `answer()` method provides a template with hooks for preprocessing, tool execution, and response fusion +**Purpose**: Defines the skeleton of the agent workflow while allowing subclasses to override specific steps. +**Implementation**: The `answer()` method provides a template with hooks for preprocessing, tool execution, and response fusion.-**Purpose**: Allows switching between different LLM providers (Gemini, OpenAI) without changing client code +**Purpose**: Allows switching between LLM providers (Gemini, OpenAI) without changing client code.-**Purpose**: Encapsulates tool execution as objects, enabling parameterization and queuing -**Implementation**: `Action` base class for tools, `ToolInvoker` as the invoker +**Purpose**: Encapsulates tool execution as objects, enabling parameterization and queuing. +**Implementation**: `Action` base class for tools; `ToolInvoker` acts as the invoker.-**Purpose**: Ensures single instances of loggers across the application +**Purpose**: Ensures a single logger instance across the application.-**Purpose**: Centralizes agent creation logic, where agents are instantiated based on user input -**Implementation**: Factory method for creating agents based on user input +**Purpose**: Centralizes agent creation; instantiates agents based on user input. +**Implementation**: Factory method creates the appropriate agent from user input.
317-320: Good addition: Sonar tokens in .env with clear separationThe dual-token guidance is clear. Consider adding a one-liner reminding users not to commit
.envand to use GitHub Actions secrets for CI.SONAR_TOKEN_LOCAL=your_local_sonarqube_token SONAR_TOKEN_CLOUD=your_sonarcloud_token +# Note: Do not commit .env; for CI use GitHub Secrets (e.g., SONAR_TOKEN_CLOUD).
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README.md
[grammar] ~90-~90: There might be a mistake here.
Context: ...plate Method Pattern** - Location: src/lib/agents/base.py - Purpose: Defines the skeleton of the a...
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Context: ...src/lib/llm/base.py` and implementations - Purpose: Allows switching between diff...
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Context: ...Location**: src/lib/tools/base.py and src/lib/tools/tool_invoker.py - Purpose: Encapsulates tool execution a...
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[grammar] ~103-~103: There might be a mistake here.
Context: ...s, enabling parameterization and queuing - Implementation: Action base class fo...
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Context: ... Singleton Pattern - Location: src/lib/loggers/base.py - Purpose: Ensures single instances of l...
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Context: ...mple Factory Pattern** - Location: src/app.py - Purpose: Centralizes agent creation lo...
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Context: ... | Example | | ------------------- | ---------- | ---...
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Context: ...-------------------- | --------------- | | WEATHER_API_KEY | Yes | Ope...
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Context: ...therMap API access | abc123def456 | | GEMINI_API_KEY | Optional* | Goo...
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Context: ...Gemini API access | xyz789uvw012 | | OPENAI_API_KEY | Optional* | Ope...
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Context: ...API access | sk-proj-... | | SONAR_TOKEN_LOCAL | Optional | Loc...
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Context: ...onarQube integration | squ_abc123... | | SONAR_TOKEN_CLOUD | Optional | Son...
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Context: ...ng locally + SonarQube scanner installed 2. SonarCloud: SonarCloud account + Proje...
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Context: ...count + Project configured on SonarCloud 3. SonarQube scanner installed locally **S...
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Context: ...* - ✅ Coverage ≥ 90% (Currently: 90.3%) - ✅ Maintainability Rating = A - ✅ Reliabi...
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Context: ...y: 90.3%) - ✅ Maintainability Rating = A - ✅ Reliability Rating = A - ✅ Security Ra...
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Context: ...ty Rating = A - ✅ Reliability Rating = A - ✅ Security Rating = A - ✅ Duplicated Lin...
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Context: ...ility Rating = A - ✅ Security Rating = A - ✅ Duplicated Lines < 3% - ✅ Technical De...
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Context: ...ity Rating = A - ✅ Duplicated Lines < 3% - ✅ Technical Debt < 1 hour - ✅ Cognitive ...
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Context: ...d Lines < 3% - ✅ Technical Debt < 1 hour - ✅ Cognitive Complexity optimized (reduce...
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Context: ...sting, tool coordination, error handling - ✅ OpenAI Agent (13 tests): LLM integ...
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Context: ...ation, response parsing, error scenarios - ✅ OpenAI LLM (16 tests): Content han...
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Context: ...ndling, tool plan generation, edge cases - ✅ LLM Stub (7 tests): Mock behavior,...
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Context: ...s, complex expressions, bracket handling - ✅ Currency Converter (15 tests): API...
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Context: ...ation, error scenarios, network failures - ✅ Weather API (21 tests): Real API i...
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Context: ...y validation, error handling, edge cases - ✅ Weather Stub (19 tests): Mock beha...
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Context: ...s**: Complete query processing pipelines - ✅ Tool Coordination: Multi-tool quer...
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Context: ...ordination**: Multi-tool query execution - ✅ API Integration: External service ...
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Context: ...egration**: External service interaction - ✅ Error Recovery: System resilience ...
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Context: ...or Recovery**: System resilience testing - ✅ Cross-Agent Compatibility: Gemini,...
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Context: ...emini, OpenAI, and Stub agent validation - ✅ Real-world Scenarios: Complex mult...
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Context: ... Scenarios**: Complex multi-step queries - ✅ Performance Validation: Response t...
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Context: ...ass Rate**: 100% (166/166 tests passing) - Execution Time: ~90 seconds for full s...
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Context: ...ution Time**: ~90 seconds for full suite - Flaky Tests: 0 (all tests deterministi...
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Context: ...aky Tests**: 0 (all tests deterministic) - Mock Coverage: 100% external dependenc...
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Context: ...age**: 100% external dependencies mocked - Error Scenarios: All failure paths tes...
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README.md (2)
1164-1219: Branch names: main vs master vs improvementsThe PR targets master, but CI docs reference main and improvements. Confirm the actual default branch and adjust docs/workflow filenames accordingly to prevent misfires.
Suggested edit if master is canonical:
-#### 1. **Main Branch Workflow** (`.github/workflows/main.yml`) +#### 1. **Master Branch Workflow** (`.github/workflows/master.yml`) -**Trigger**: Push/PR to `main` branch +**Trigger**: Push/PR to `master` branch
804-813: Sonar project key/source path alignment
sonar.sources=srcin the properties snippet implies code under src/. Ensure all earlier examples (Makefile snippets and badge) use the same key and source path to avoid empty analyses.Minimal harmonization patch for the properties example:
-sonar.projectKey=ai-tool-agent-system +sonar.projectKey=ai-tool-agent-system sonar.sources=src
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⚠️ Outside diff range comments (1)
tests/test_smoke.py (1)
1-286: Guard real agent calls in smoke testsThe verification script still detects unguarded calls to
self.gemini_agent.answer(...)andself.openai_agent.answer(...), causing live API requests whenever these tests run. To prevent unintended network activity and ensure CI stability, wrap all real-agent invocations in a conditional guard or skip them when credentials aren’t provided.Ungated calls in
tests/test_smoke.py:
- GeminiAgent.answer at lines 32, 84, 124, 142, 169, 221, 255
- OpenAIAgent.answer at lines 49, 100, 130, 146, 186, 271
Please ensure that:
- Real agents are only instantiated when an explicit flag (e.g.
RUN_LIVE_TESTS) or valid API credentials are present.- Each
.answer()call onself.gemini_agentandself.openai_agentis wrapped in a check such as:if os.getenv("RUN_LIVE_TESTS"): out = self.gemini_agent.answer(...) else: pytest.skip("Skipping live GeminiAgent call")- The default test run (e.g., CI) does not require network access to pass.
♻️ Duplicate comments (9)
.github/workflows/improvements.yml (1)
12-16: Update deprecated GitHub Actions and add Python cache (actionlint warning).actions/checkout@v3 is deprecated on current runners. Upgrade to v4 (and setup-python to v5 with pip cache) to avoid failures and speed up installs. This was flagged previously.
Apply:
- name: Checkout repository - uses: actions/checkout@v3 + uses: actions/checkout@v4 + - name: Set up Python + uses: actions/setup-python@v5 + with: + python-version: "3.10" + cache: "pip"src/lib/tools/currency_converter.py (1)
72-85: Replace brittle string matching with structural mapping of Pydantic errors.Relying on substrings of str(e) is fragile. Use ValidationError.errors() to map to domain messages.
- def _handle_value_error(self, e: ValueError) -> ConversionRequestError: - """Map Pydantic validation errors to domain-specific errors.""" - error_msg = str(e) - if "Field required" in error_msg: - missing_field = self._extract_missing_field(error_msg) - return ConversionRequestError( - f"Missing required parameter: {missing_field}" - ) - if "Input should be greater than 0" in error_msg: - return ConversionRequestError("Amount must be a positive number") - if "Input should be a valid number" in error_msg: - return ConversionRequestError("Amount must be a positive number") - return ConversionRequestError(f"Invalid conversion request: {error_msg}") + def _handle_value_error(self, e: Exception) -> ConversionRequestError: + """Map validation errors to domain-specific errors.""" + if isinstance(e, ValidationError): + for err in e.errors(): + loc = err.get("loc") or [] + field = str(loc[-1]) if loc else "unknown" + err_type = err.get("type", "") + msg = err.get("msg", "").lower() + if "field required" in msg or err_type.endswith(".missing"): + return ConversionRequestError(f"Missing required parameter: {field}") + if err_type.endswith(".gt") or "greater than 0" in msg: + return ConversionRequestError("Amount must be a positive number") + if "type_error.float" in err_type or "valid number" in msg: + return ConversionRequestError("Amount must be a positive number") + # Fallback for ValueError or unexpected shapes + return ConversionRequestError(f"Invalid conversion request: {str(e)}")tests/llm/test_gemini.py (1)
13-14: Remove redundant @pytest.mark.usefixtures — fixture is autouse=True.The decorator is unnecessary and can be dropped.
-@pytest.mark.usefixtures("gemini_fixture") class TestGeminiStrategy:tests/llm/test_openai.py (2)
13-15: Remove redundant @pytest.mark.usefixtures — fixture is autouse=True.Cleaner without the decorator.
-@pytest.mark.usefixtures("openai_fixture") class TestOpenAIStrategy:
43-48: Assert Authorization header is omitted when OPENAI_API_KEY is missing; guard in implementation.Prevents “Bearer None” from being sent.
Test change:
with patch.dict(os.environ, {}, clear=True): strategy = OpenAIStrategy() assert strategy.apiClient.base_url == OPENAI_API_URL + assert "Authorization" not in strategy.apiClient.default_headersImplementation change (outside this file):
- self.apiClient.set_auth_header(getenv("OPENAI_API_KEY"), "Bearer") + token = getenv("OPENAI_API_KEY") + if token: + self.apiClient.set_auth_header(token, "Bearer")README.md (2)
317-320: Normalize env-vars table formatting and remove escaped asterisks.Render cleanly without backticks inside table cells and without “*”.
# Optional: SonarQube integration (dual setup) SONAR_TOKEN_LOCAL=your_local_sonarqube_token SONAR_TOKEN_CLOUD=your_sonarcloud_token-| Variable | Required | Purpose | Example | -| ------------------- | ---------- | --------------------------- | --------------- | -| `WEATHER_API_KEY` | Yes | OpenWeatherMap API access | `abc123def456` | -| `GEMINI_API_KEY` | Optional\* | Google Gemini API access | `xyz789uvw012` | -| `OPENAI_API_KEY` | Optional\* | OpenAI API access | `sk-proj-...` | -| `SONAR_TOKEN_LOCAL` | Optional | Local SonarQube integration | `squ_abc123...` | -| `SONAR_TOKEN_CLOUD` | Optional | SonarCloud integration | `squ_def456...` | +| Variable | Required | Purpose | Example | +|-------------------|----------|-----------------------------|----------------| +| WEATHER_API_KEY | Yes | OpenWeatherMap API access | abc123def456 | +| GEMINI_API_KEY | Optional*| Google Gemini API access | xyz789uvw012 | +| OPENAI_API_KEY | Optional*| OpenAI API access | sk-proj-... | +| SONAR_TOKEN_LOCAL | Optional | Local SonarQube integration | squ_abc123... | +| SONAR_TOKEN_CLOUD | Optional | SonarCloud integration | squ_def456... |Also applies to: 324-331
3-3: Fix SonarCloud badge project key to match sonar-project.properties.Current badge targets AIToolProject but properties use ai-tool-agent-system.
-[](https://sonarcloud.io/summary/new_code?id=AIToolProject) +[](https://sonarcloud.io/summary/new_code?id=ai-tool-agent-system)tests/test_smoke.py (2)
10-10: Remove redundant @pytest.mark.usefixtures decoratorThe fixture is already defined with autouse=True; the class-level decorator adds no value and can be dropped.
-@pytest.mark.usefixtures("agent_fixture") class TestSmoke:
14-20: Gate real LLM agent creation on env vars to stop flaky, network-dependent test failuresCI failures show Gemini requests executing without credentials. Create agents only when keys are present; otherwise set them to None so tests can guard calls. This will stabilize the suite while keeping stub assertions always-on.
@pytest.fixture(autouse=True) def agent_fixture(self): """Fixture to provide an Agent instance.""" load_dotenv() - self.gemini_agent = GeminiAgent() - self.openai_agent = OpenAIAgent() + self.gemini_agent = GeminiAgent() if os.getenv("GEMINI_API_KEY") else None + self.openai_agent = OpenAIAgent() if os.getenv("OPENAI_API_KEY") else None self.stub_agent = Agent()
🧹 Nitpick comments (14)
.github/workflows/improvements.yml (2)
8-11: This job is named “test” but doesn’t install deps or run tests. Either rename or add tests + coverage before Sonar.If this workflow is meant to validate improvements with tests (per README), add install/pytest/coverage steps before Sonar. Alternatively, rename the job to “quality.”
Example patch:
jobs: - test: + quality: runs-on: ubuntu-latest steps: - name: Checkout repository uses: actions/checkout@v4 + - name: Set up Python + uses: actions/setup-python@v5 + with: + python-version: "3.10" + cache: "pip" + + - name: Install dependencies + run: pip install -r requirements.txt + + - name: Run tests with coverage + run: pytest --cov=src --cov-report=xml + - name: SonarQube Scan uses: SonarSource/sonarqube-scan-action@v5 env: - SONAR_TOKEN: ${{ secrets.SONAR_TOKEN }} + SONAR_TOKEN: ${{ secrets.SONAR_TOKEN_CLOUD }} + SONAR_HOST_URL: https://sonarcloud.io - name: Cleanup .env run: rm -f .envNote: If you intend local SonarQube instead of SonarCloud here, keep SONAR_TOKEN (local) and set SONAR_HOST_URL accordingly. Please confirm which target this workflow should analyze.
Also applies to: 15-21
3-6: Trigger on pull_request to improvements as well to validate PRs.Right now only pushes to the branch run. Adding PR triggers catches issues before merge.
on: push: branches: [improvements] + pull_request: + branches: [improvements]src/lib/tools/currency_converter.py (2)
42-52: Harden HTTP handling: add return type, use Response.ok, and treat 429 explicitly.Improves correctness for non-2xx responses, adds clarity with typing, and surfaces rate limiting distinctly.
- def _fetch_conversion_data(self, request: CurrencyConversionRequest): + def _fetch_conversion_data(self, request: CurrencyConversionRequest) -> "requests.Response": """Fetch conversion data from API and handle HTTP errors.""" raw_response = self.apiClient.get("/latest", params=request.to_query_params()) - if raw_response.status_code == 400: - raise InvalidCurrencyError("Invalid currency code provided") - if raw_response.status_code != 200: - raise CurrencyAPIError( - f"Currency API error: {raw_response.status_code} - {raw_response.text}" - ) + if raw_response.status_code == 400: + raise InvalidCurrencyError("Invalid currency code or parameters") + if raw_response.status_code == 429: + raise CurrencyAPIError("Rate limited by currency API; please retry later") + if not raw_response.ok: + raise CurrencyAPIError( + f"Currency API error: {raw_response.status_code} - {raw_response.text}" + ) return raw_responseAdditional import required at module top:
import requests
86-92: Remove _extract_missing_field or keep only if used elsewhere.This helper parses free-form text and is now unnecessary with structural ValidationError handling. Delete to reduce dead code.
- def _extract_missing_field(self, error_msg: str) -> str: - """Extract which field was missing from error message.""" - for line in error_msg.split("\n"): - line = line.strip() - if line in {"from", "to", "amount"}: - return line - return "unknown"tests/llm/test_gemini.py (3)
41-46: Assert API key header is absent when GEMINI_API_KEY is missing; fix implementation accordingly.Prevents “X-goog-api-key: None”. Add the assertion and update src/lib/llm/gemini.py to only set the header when a key exists.
Test change:
with patch.dict(os.environ, {}, clear=True): strategy = GeminiStrategy() assert strategy.apiClient.base_url == GEMINI_API_URL + assert "X-goog-api-key" not in strategy.apiClient.default_headersImplementation change (outside this file):
- self.apiClient.set_default_headers( - { - "Content-Type": "application/json", - "X-goog-api-key": getenv("GEMINI_API_KEY"), - } - ) + headers = {"Content-Type": "application/json"} + api_key = getenv("GEMINI_API_KEY") + if api_key: + headers["X-goog-api-key"] = api_key + self.apiClient.set_default_headers(headers)
84-105: Strengthen assertions: expect at least one suggestion in “successful refine” cases.len(..) >= 0 is always true; assert > 0 to actually validate behavior.
- assert len(result.suggestions) >= 0 + assert len(result.suggestions) > 0Apply to both successful refine tests.
Also applies to: 106-127
63-66: Optional: combine nested with-statements (SIM117) for brevity.You can combine patch.object and pytest.raises in a single with; readability is subjective, so treat as optional.
Example:
with patch.object(self.strategy.apiClient, "post", return_value=mock_response), \ pytest.raises(GeminiError, match="Error querying Gemini"): self.strategy.query("Test query")Also applies to: 72-75, 78-81, 140-144, 153-156, 249-251
tests/llm/test_openai.py (2)
104-108: Strengthen assertions: expect at least one suggestion for “successful refine”.len(..) >= 0 is always true; assert > 0 to validate parsing.
- assert len(result.suggestions) >= 0 + assert len(result.suggestions) > 0Also applies to: 125-129
67-69: Optional: combine nested with-statements (SIM117).Style-only; feel free to keep current layout if you prefer readability.
Example:
with patch.object(self.strategy.apiClient, "post", return_value=mock_response), \ pytest.raises(OpenAIError, match="Error querying OpenAI"): self.strategy.query("Test query")Also applies to: 76-78, 82-86, 135-137, 141-145, 156-158
README.md (2)
200-219: Update Makefile docs to reflect new sonar_local/sonar_cloud targets.Earlier section still shows “make sonar”. Align with the later “Complete Makefile Commands” table.
-# Code Quality -make fmt # Format code with black -make sonar # Run SonarQube analysis (requires SONAR_TOKEN) +# Code Quality +make fmt # Format code with black +make sonar_local # Run local SonarQube analysis (requires SONAR_TOKEN_LOCAL) +make sonar_cloud # Run SonarCloud analysis (requires SONAR_TOKEN_CLOUD)-# SonarQube analysis -sonar: - sonar-scanner -Dsonar.projectKey=AIToolProject -Dsonar.sources=. -Dsonar.host.url=http://localhost:4000 -Dsonar.login=$$SONAR_TOKEN +# SonarQube analysis (see dedicated targets below)Also applies to: 249-252
1164-1218: Docs/CI drift: improvements.yml currently doesn’t run tests/coverage as described here.The “Improvements Branch Workflow” section claims extended test coverage and QA steps, but the workflow only runs a Sonar scan. Either expand the workflow (recommended) or adjust this section to match reality.
tests/test_smoke.py (3)
3-7: Import os once; hoist re to module scope and remove repeated inline imports
- Needed for gating agent instantiation by API keys.
- Avoids repeated import re in multiple tests.
+import os +import re import pytest from tests.utils.stubs.agent import AgentStub as Agent from src.lib.agents.gemini import GeminiAgent from src.lib.agents.openai import OpenAIAgent from dotenv import load_dotenv- import re- import re- import reAlso applies to: 243-243, 259-259, 275-275
152-152: Replace curly apostrophes with ASCII to avoid encoding surprisesMinor, but safer across shells/OSes and copy-paste tools.
- out = self.stub_agent.answer("Summarize today’s weather in Paris in 3 words.") + out = self.stub_agent.answer("Summarize today's weather in Paris in 3 words.")- if self.gemini_agent: - out = self.gemini_agent.answer("Summarize today’s weather in Paris in 3 words.") + if self.gemini_agent: + out = self.gemini_agent.answer("Summarize today's weather in Paris in 3 words.")- if self.openai_agent: - out = self.openai_agent.answer("Summarize today’s weather in Paris in 3 words.") + if self.openai_agent: + out = self.openai_agent.answer("Summarize today's weather in Paris in 3 words.")Also applies to: 169-169, 186-186
11-286: Reduce duplication: parametrize agents or centralize live-call assertionsCurrent tests repeat the same assertions for stub, Gemini, OpenAI. Consider:
- Pytest parametrize with a fixture yielding available agents (always includes stub; conditionally adds Gemini/OpenAI based on env).
- Or add a helper method (e.g., assert_agent_answers(agent, prompt, validators)).
This will shrink the file >40%, improve readability, and make adding new tasks trivial.
I can provide a parametric version of this suite or wire up a @pytest.mark.online marker and pytest.ini registration if you prefer.
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📒 Files selected for processing (10)
.github/workflows/improvements.yml(1 hunks)README.md(8 hunks)src/app.py(3 hunks)src/lib/tools/calculator.py(4 hunks)src/lib/tools/currency_converter.py(1 hunks)tests/agent/test_gemini_agent.py(1 hunks)tests/agent/test_openai_agent.py(1 hunks)tests/llm/test_gemini.py(1 hunks)tests/llm/test_openai.py(1 hunks)tests/test_smoke.py(1 hunks)
🚧 Files skipped from review as they are similar to previous changes (4)
- src/app.py
- src/lib/tools/calculator.py
- tests/agent/test_openai_agent.py
- tests/agent/test_gemini_agent.py
🧰 Additional context used
🧬 Code graph analysis (4)
tests/test_smoke.py (5)
tests/utils/stubs/agent.py (1)
AgentStub(11-242)src/lib/agents/base.py (2)
Agent(13-166)answer(20-50)src/lib/agents/gemini.py (1)
GeminiAgent(6-10)src/lib/agents/openai.py (1)
OpenAIAgent(6-10)tests/llm/test_llm_stub.py (1)
agent_fixture(19-21)
src/lib/tools/currency_converter.py (3)
src/lib/errors/tools/currency_converter.py (4)
InvalidCurrencyError(20-25)CurrencyAPIError(12-17)ConversionRateError(36-41)ConversionRequestError(28-33)src/data/schemas/tools/currency.py (4)
CurrencyConversionRequest(7-25)to_query_params(19-25)CurrencyConversionResponse(28-40)get_converted_amount(34-36)src/lib/api.py (1)
get(94-139)
tests/llm/test_gemini.py (3)
src/lib/llm/gemini.py (3)
GeminiStrategy(12-60)query(24-32)refine(34-60)src/lib/errors/llms/gemini.py (1)
GeminiError(4-9)src/data/schemas/tools/tool.py (1)
ToolPlan(114-168)
tests/llm/test_openai.py (3)
src/lib/llm/openai.py (3)
OpenAIStrategy(12-62)query(20-27)refine(29-44)src/lib/errors/llms/openai.py (1)
OpenAIError(4-9)src/data/schemas/tools/tool.py (1)
ToolPlan(114-168)
🪛 actionlint (1.7.7)
.github/workflows/improvements.yml
13-13: the runner of "actions/checkout@v3" action is too old to run on GitHub Actions. update the action's version to fix this issue
(action)
🪛 LanguageTool
README.md
[grammar] ~90-~90: There might be a mistake here.
Context: ...plate Method Pattern** - Location: src/lib/agents/base.py - Purpose: Defines the skeleton of the a...
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Context: ...src/lib/llm/base.py` and implementations - Purpose: Allows switching between diff...
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Context: ...Location**: src/lib/tools/base.py and src/lib/tools/tool_invoker.py - Purpose: Encapsulates tool execution a...
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Context: ...s, enabling parameterization and queuing - Implementation: Action base class fo...
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Context: ... Singleton Pattern - Location: src/lib/loggers/base.py - Purpose: Ensures single instances of l...
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Context: ...mple Factory Pattern** - Location: src/app.py - Purpose: Centralizes agent creation lo...
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Context: ... | Example | | ------------------- | ---------- | ---...
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Context: ...-------------------- | --------------- | | WEATHER_API_KEY | Yes | Ope...
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Context: ...therMap API access | abc123def456 | | GEMINI_API_KEY | Optional* | Goo...
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Context: ...Gemini API access | xyz789uvw012 | | OPENAI_API_KEY | Optional* | Ope...
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Context: ...API access | sk-proj-... | | SONAR_TOKEN_LOCAL | Optional | Loc...
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🪛 GitHub Actions: Master Tests
tests/test_smoke.py
[error] 35-35: Step: make test. Test 'test_ada_lovelace' failed: Gemini agent output missing expected keywords (ada, lovelace, mathematician, computing, pioneer, writer, english, math).
[error] 126-126: Step: make test. Test 'test_calculator_addition' failed: Gemini agent error during calculation: 'AnalysisError: an error occurred while translating the name 'double' - a real path must be provided for the input path'. The response was not numeric.
[error] 144-144: Step: make test. Test 'test_percentage_calculation' failed: Gemini agent responded with inability message instead of numeric result (expected '30.375' or '30').
[error] 172-172: Step: make test. Test 'test_weather_summary' failed: Gemini agent output did not include expected weather keywords.
🪛 Ruff (0.12.2)
src/lib/tools/currency_converter.py
38-38: Within an except clause, raise exceptions with raise ... from err or raise ... from None to distinguish them from errors in exception handling
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tests/llm/test_gemini.py
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tests/llm/test_openai.py
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Pull Request Overview
This PR implements comprehensive improvements to the AI Tool-Using Agent System, enhancing type safety, test coverage, and code maintainability. The main focus is on expanding the test suite from 90 to 180 tests while refactoring core components for better modularity and error handling.
- Reorganized test structure: Moved stub files to
tests/utils/stubs/for better organization and created comprehensive test fixtures - Expanded test coverage: Added dedicated agent and LLM strategy tests with 80%+ overall coverage
- Refactored core components: Improved OpenAI integration, currency converter, and calculator tools with better error handling and modular design
Reviewed Changes
Copilot reviewed 28 out of 34 changed files in this pull request and generated 13 comments.
Show a summary per file
| File | Description |
|---|---|
tests/utils/stubs/tools/weather.py |
Updated import path for weather constants after test reorganization |
tests/utils/stubs/llm.py |
Updated import paths for reorganized test constants |
tests/tools/test_weather_stub.py |
Refactored to use pytest fixtures and parametrized tests for better maintainability |
tests/tools/test_weather.py |
Enhanced with helper methods and parametrized tests for comprehensive coverage |
tests/tools/test_currency_converter.py |
Streamlined tests with helper methods and improved error handling validation |
tests/tools/test_calculator.py |
Converted to class-based structure with pytest fixtures |
tests/test_stub_smoke.py |
New smoke tests for stub agent with flexible assertion patterns |
tests/test_openai_smoke.py |
New smoke tests for OpenAI agent integration |
tests/test_gemini_smoke.py |
New smoke tests for Gemini agent integration |
tests/test_api.py |
Refactored with fixtures and helper methods for cleaner test structure |
tests/llm/test_openai.py |
New comprehensive OpenAI LLM strategy tests |
tests/llm/test_llm_stub.py |
Enhanced LLM stub tests with better fixture organization |
tests/llm/test_gemini.py |
New comprehensive Gemini LLM strategy tests |
tests/agent/test_openai_agent.py |
New OpenAI agent integration tests |
tests/agent/test_gemini_agent.py |
New Gemini agent integration tests |
src/lib/tools/knowledge_base.py |
Simplified error message formatting |
src/lib/tools/currency_converter.py |
Refactored for better modularity and error handling |
src/lib/tools/calculator.py |
Enhanced with helper methods and improved code organization |
src/lib/llm/openai.py |
Refactored with helper methods for better maintainability |
src/app.py |
Added type hints for better type safety |
Tip: Customize your code reviews with copilot-instructions.md. Create the file or learn how to get started.
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Actionable comments posted: 8
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⚠️ Outside diff range comments (2)
README.md (2)
262-264: Align Makefile and README Sonar targets with theai-tool-agent-systemproject keyBoth the default
sonar,sonar_local, andsonar_cloudtargets in Makefile still referenceAIToolProject(e.g. at lines 23, 29, and 38), and the README.md snippet under “SonarQube analysis” (lines 263–264) shows the same outdated key. This mismatch will cause your scans to report under the wrong Sonar project.Please update:
• Makefile
- Default
sonar:target (around line 23):- sonar-scanner -Dsonar.projectKey=AIToolProject -Dsonar.sources=. ... + sonar-scanner -Dsonar.projectKey=ai-tool-agent-system -Dsonar.sources=. ...sonar_local:target (around line 29):- sonar-scanner -Dsonar.projectKey=AIToolProject ... + sonar-scanner -Dsonar.projectKey=ai-tool-agent-system ...sonar_cloud:target (around line 38):- sonar-scanner -Dsonar.projectKey=AIToolProject ... + sonar-scanner -Dsonar.projectKey=ai-tool-agent-system ...• README.md (lines 263–264):
- sonar: - sonar-scanner -Dsonar.projectKey=AIToolProject -Dsonar.sources=. -Dsonar.host.url=http://localhost:4000 -Dsonar.login=$$SONAR_TOKEN + sonar: + sonar-scanner -Dsonar.projectKey=ai-tool-agent-system -Dsonar.sources=. -Dsonar.host.url=http://localhost:4000 -Dsonar.login=$$SONAR_TOKENAlso verify that the documented
sonar.projectKey=ai-tool-agent-systemat line 823 of README.md remains in sync if you split intosonar_local/sonar_cloudtargets.
130-176: Update README.md Directory Structure to reflectsrc/layoutThe “📁 Directory Structure” in README.md (lines 130–176) lists files and folders at the repo root that now live under
src/. Please update that snippet to match the actual layout:• File to update:
README.md@ lines 130–176
• Change from a flat root layout to asrc/-scoped treeSuggested replacement snippet:
. ├── src/ │ ├── main.py # CLI entry point │ ├── requirements.txt # Python dependencies │ ├── Makefile # Build and test automation │ ├── conftest.py # Pytest configuration │ ├── constants/ # Application constants │ │ ├── api.py │ │ ├── llm.py │ │ ├── messages.py │ │ └── tools.py │ ├── data/ │ │ ├── knowledge_base.json │ │ └── schemas/ │ │ ├── api_logging.py │ │ ├── currency.py │ │ ├── knowledge_base.py │ │ ├── tool.py │ │ └── weather.py │ ├── lib/ # Core application logic │ │ ├── agents/ │ │ │ ├── base.py │ │ │ ├── gemini.py │ │ │ └── openai.py │ │ ├── api.py │ │ ├── errors/ │ │ │ ├── llms/ │ │ │ └── tools/ │ │ ├── llm/ │ │ ├── loggers/ │ │ └── tools/ │ └── logs/ # Application logs (auto-created) └── tests/ # Test suiteThis aligns with the actual repository tree (
src/andtests/at root, code undersrc/).
♻️ Duplicate comments (6)
tests/test_gemini_smoke.py (1)
8-9: Redundant @pytest.mark.usefixtures when fixture is autouse=True.The class decorator is unnecessary because agent_fixture is autouse. Remove it for clarity.
-@pytest.mark.usefixtures("agent_fixture") class TestGeminiSmoke:tests/test_openai_smoke.py (1)
8-9: Redundant @pytest.mark.usefixtures when fixture is autouse=True.Same rationale as Gemini smoke tests—remove the decorator.
-@pytest.mark.usefixtures("agent_fixture") class TestOpenAISmoke:src/lib/tools/currency_converter.py (1)
72-85: Map Pydantic errors structurally; avoid brittle string matches.Using str(e) is fragile. Inspect ValidationError.errors() to derive precise messages; also accept ValueError fallback.
- def _handle_value_error(self, e: ValueError) -> ConversionRequestError: - """Map Pydantic validation errors to domain-specific errors.""" - error_msg = str(e) - if "Field required" in error_msg: - missing_field = self._extract_missing_field(error_msg) - return ConversionRequestError( - f"Missing required parameter: {missing_field}" - ) - if "Input should be greater than 0" in error_msg: - return ConversionRequestError("Amount must be a positive number") - if "Input should be a valid number" in error_msg: - return ConversionRequestError("Amount must be a positive number") - return ConversionRequestError(f"Invalid conversion request: {error_msg}") + def _handle_value_error(self, e: Exception) -> ConversionRequestError: + """Map validation errors to domain-specific errors.""" + if isinstance(e, ValidationError): + for err in getattr(e, "errors", lambda: [])(): + loc = err.get("loc") or [] + field = str(loc[-1]) if loc else "unknown" + typ = (err.get("type") or "").lower() + msg = (err.get("msg") or "").lower() + if "field required" in msg or "missing" in typ: + return ConversionRequestError(f"Missing required parameter: {field}") + if "greater than" in msg or any(k in typ for k in ("greater_than", "gt")): + return ConversionRequestError("Amount must be a positive number") + if "valid number" in msg or "type_error.float" in typ: + return ConversionRequestError("Amount must be a positive number") + # Fallback + return ConversionRequestError(f"Invalid conversion request: {str(e)}")tests/test_stub_smoke.py (1)
8-9: Remove redundant @pytest.mark.usefixtures when fixture is autouse=TrueThe decorator is unnecessary and can be dropped.
Apply this diff:
-@pytest.mark.usefixtures("agent_fixture") class TestStubSmoke:README.md (2)
3-3: Fix SonarCloud badge project key to match sonar-project.propertiesThe badge points to AIToolProject, but the project key later is ai-tool-agent-system. Update both the image and the link.
Apply this diff:
-[](https://sonarcloud.io/summary/new_code?id=AIToolProject) +[](https://sonarcloud.io/summary/new_code?id=ai-tool-agent-system)
334-343: Fix environment variables table formatting and remove escaped asterisksClean table formatting improves rendering and addresses linter warnings. Remove backticks in cells and backslashes before the asterisk.
Apply this diff:
-| Variable | Required | Purpose | Example | -| ------------------- | ---------- | --------------------------- | --------------- | -| `WEATHER_API_KEY` | Yes | OpenWeatherMap API access | `abc123def456` | -| `GEMINI_API_KEY` | Optional\* | Google Gemini API access | `xyz789uvw012` | -| `OPENAI_API_KEY` | Optional\* | OpenAI API access | `sk-proj-...` | -| `SONAR_TOKEN_LOCAL` | Optional | Local SonarQube integration | `squ_abc123...` | -| `SONAR_TOKEN_CLOUD` | Optional | SonarCloud integration | `squ_def456...` | +| Variable | Required | Purpose | Example | +|-------------------|----------|-----------------------------|----------------| +| WEATHER_API_KEY | Yes | OpenWeatherMap API access | abc123def456 | +| GEMINI_API_KEY | Optional*| Google Gemini API access | xyz789uvw012 | +| OPENAI_API_KEY | Optional*| OpenAI API access | sk-proj-... | +| SONAR_TOKEN_LOCAL | Optional | Local SonarQube integration | squ_abc123... | +| SONAR_TOKEN_CLOUD | Optional | SonarCloud integration | squ_def456... |The footnote below already explains “Optional*”.
🧹 Nitpick comments (20)
src/lib/tools/knowledge_base.py (5)
52-61: Docstring contradicts return type and behavior; clarify return contract.The docstring says “return only the summary” and “String with summary only or error message,” but the function returns a KnowledgeEntry (and raises on errors). Align the documentation with the actual behavior to avoid misuse.
Apply this diff to fix the docstring:
def execute(self, args: dict) -> KnowledgeEntry: """ - Execute knowledge base search and return only the summary. + Execute a knowledge-base search and return the most relevant KnowledgeEntry. Args: args: Dictionary containing 'query' key with search term Returns: - String with summary only or error message + Most relevant KnowledgeEntry. Errors are raised via QueryError/RetrievalError. """
83-85: Incorrect return description in search() docstring.search() returns a list[KnowledgeEntry], not a dict or string. Update for accuracy.
Returns: - Dict with {"entry": name, "summary": summary} or error string + A list of KnowledgeEntry objects ordered by relevance.
62-68: Good input validation; add type-precise error message for non-strings (optional).You already check key presence and type/emptiness. Consider splitting type and emptiness to produce clearer messages, but this is optional given search() re-validates.
36-51: Preserve original traceback when wrapping exceptions in _load_knowledge_base.Re-raising without chaining drops context. Chain the original exception.
except Exception as e: self.knowledge_base = knowledge_baseSchema(entries=[]) - raise LoadingError(f"Error loading knowledge base: {str(e)}") + raise LoadingError(f"Error loading knowledge base: {str(e)}") from eAdditionally, prefer logging over print for warnings:
- print( - f"Warning: Knowledge base file {self.knowledge_base_file_path} not found. Created empty knowledge_base." - ) + logger.warning( + "Knowledge base file %s not found. Created empty knowledge_base.", + self.knowledge_base_file_path, + )Outside this hunk, add at top of file:
import logging logger = logging.getLogger(__name__)
139-142: Preserve traceback and replace prints with logging in add_entry.Returning to stdout in library code is noisy and hard to test. Use logging and chain exceptions.
- print(f"Successfully added entry for '{name}'") + logger.info("Successfully added entry for '%s'", name) @@ - except Exception as e: - raise InsertionError(f"Error adding entry: {str(e)}") + except Exception as e: + raise InsertionError(f"Error adding entry: {str(e)}") from etests/test_gemini_smoke.py (3)
3-7: Gate smoke tests on API key to avoid flaky CI/network failures.These are live calls; skip gracefully when GEMINI_API_KEY isn’t set. Keeps CI reliable.
import pytest from src.lib.agents.gemini import GeminiAgent from dotenv import load_dotenv +import os + +# Skip if no API key configured +pytestmark = pytest.mark.skipif( + not os.getenv("GEMINI_API_KEY"), + reason="GEMINI_API_KEY not set; skipping Gemini smoke tests", +)
80-101: “3 words” prompt is not asserted; consider a len<=3 heuristic (optional).Not required for smoke, but a simple token/word-count check would add value without brittleness.
Example:
out = self.gemini_agent.answer("Summarize today's weather in Paris in 3 words.") assert isinstance(out, str) assert len(out) > 5 + assert len(out.replace(",", " ").split()) <= 6 # tolerate minor punctuation
120-135: Numeric parsing fallback is fine; tighten check to avoid false positives (optional).re.findall will match any digits; ensure the number reflects a plausible EUR amount.
- numbers = re.findall(r"\d+\.?\d*", out) + numbers = re.findall(r"(?<!\d)\d{1,6}(?:\.\d{1,6})?(?!\d)", out)CONTRIBUTING.md (3)
63-80: Branch naming: doc says “main”; PR target is “master”. Align terminology.Decide on main vs master and use consistently across docs, Makefile, and workflows. If the repo uses master (as of Aug 26, 2025), reflect that here.
Proposed edit if using master:
-#### 🌟 **main** Branch +#### 🌟 **master** Branch @@ -# For stable features (targeting main) -git checkout main -git pull upstream main +# For stable features (targeting master) +git checkout master +git pull upstream master @@ -# For bug fixes (targeting main) -git checkout main -git pull upstream main +# For bug fixes (targeting master) +git checkout master +git pull upstream master @@ -# For documentation updates -git checkout main -git pull upstream main +# For documentation updates +git checkout master +git pull upstream master
147-147: markdownlint: add language to fenced code blocks.Two code fences lack a language tag. Use text for generic blocks.
-``` +```textAlso applies to: 288-288
404-407: Milestone dates are stale (Q1–Q3 2024).Update milestones to current planning or remove dates to avoid misleading contributors in 2025.
Example:
-| **v1.0.0** | Production-ready release | Q1 2024 | -| **v1.1.0** | Enhanced tool ecosystem | Q2 2024 | -| **v1.2.0** | Advanced LLM integrations | Q3 2024 | +| **v1.0.0** | Production-ready release | TBD | +| **v1.1.0** | Enhanced tool ecosystem | TBD | +| **v1.2.0** | Advanced LLM integrations | TBD |tests/test_openai_smoke.py (2)
3-7: Gate smoke tests on API key to reduce CI flakiness.Skip when OPENAI_API_KEY isn’t set. This keeps the suite reliable across environments.
import pytest from src.lib.agents.openai import OpenAIAgent from dotenv import load_dotenv +import os + +pytestmark = pytest.mark.skipif( + not os.getenv("OPENAI_API_KEY"), + reason="OPENAI_API_KEY not set; skipping OpenAI smoke tests", +)
18-35: Add graceful-failure keywords for consistency with other tests (optional).Ada test doesn’t accept “unable/sorry” like others do. Consider aligning tolerance across tests.
assert any( keyword in out.lower() for keyword in [ "ada", "lovelace", "mathematician", "computing", "pioneer", "writer", "english", "math", + "unable", + "sorry", ] )src/lib/tools/currency_converter.py (1)
61-71: Avoid magic number; clarify zero-rate detection.Use a named constant and consider treating “missing rate” differently from “near-zero amount”.
- converted_amount = response.get_converted_amount(request.to_currency) - if abs(converted_amount) < 1e-9: + converted_amount = response.get_converted_amount(request.to_currency) + if abs(converted_amount) < ZERO_THRESHOLD: raise ConversionRateError( f"Conversion rate not found for {request.to_currency}" ) return converted_amountOutside this hunk, add near top-level:
ZERO_THRESHOLD = 1e-9tests/test_stub_smoke.py (4)
12-17: Make the stub agent fixture class-scoped to avoid per-test setup and speed up the suiteLoading env vars and constructing the stub agent for every test is needless overhead. Use a class-scoped autouse fixture and attach the agent to the class via request.cls. This also avoids relying on bound-method fixtures with self.
Apply this diff:
- @pytest.fixture(autouse=True) - def agent_fixture(self): - """Fixture to provide a Stub Agent instance.""" - load_dotenv() - self.stub_agent = Agent() + @pytest.fixture(scope="class", autouse=True) + def _setup_stub_agent(self, request): + """Set up a Stub Agent once per class.""" + load_dotenv() + request.cls.stub_agent = Agent()
3-6: Import re once at module top; avoid function-scoped re-importsKeep imports at the top-level to reduce repetition and minor import overhead in tests.
Apply this diff:
import pytest +import re from tests.utils.stubs.agent import AgentStub as Agent from dotenv import load_dotenv- import re - numbers = re.findall(r"\d+\.?\d*", out)Also applies to: 106-108
63-71: Optional: Align the assertion with the “in 3 words” requirement to make the test meaningfulCurrently we don’t verify word count. Consider asserting a small word-count range to keep the smoke test resilient yet purposeful.
Example tweak:
- assert len(out) > 5 + # Keep len check, plus a soft word-count bound to reflect "3 words" intent without flakiness + words = out.strip().split() + assert len(out) > 5 and 2 <= len(words) <= 6
83-101: Defensive parsing for temperaturesIf future changes add spaces (e.g., “23.0 °C”), the current replace still works, but strip-based parsing is slightly safer. Not critical.
Example:
- temp_value = float(out.replace("°C", "")) + temp_value = float(out.replace("°C", "").strip())README.md (2)
204-204: Remove trailing colons from headings to satisfy MD026Markdownlint flags headings that end with punctuation.
Apply this diff:
-### 🎯 Key Dependency Choices: +### 🎯 Key Dependency Choices-### What this means: +### What this means-### Requirements: +### Requirements-### Limitations: +### LimitationsAlso applies to: 1289-1289, 1297-1297, 1302-1302
1265-1265: Specify a language for the MIT License code block (MD040)Add a language hint for better rendering and to satisfy the linter.
Apply this diff:
-``` +```text
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⚠️ Outside diff range comments (1)
README.md (1)
195-207: Updatepytest-covversion in README to match requirements.txtThe pinned version of
pytest-covin README.md (6.0.0) is out of sync with requirements.txt (6.2.1). Please update the snippet starting at line 203 in README.md:@@ README.md:203 - pytest-cov==6.0.0 # Coverage reporting + pytest-cov==6.2.1 # Coverage reportingOptionally, you can also:
- Add a note beneath the block: “Versions in this section mirror those in requirements.txt to prevent drift.”
- Rename
typing-extensionstotyping_extensionsin README for consistency with requirements.txt (both reference 4.14.1).
♻️ Duplicate comments (3)
README.md (3)
3-3: Fix SonarCloud badge project key/link (point to the actual project).The badge still targets AIToolProject, but the Sonar config below uses sonar.projectKey=ai-tool-agent-system. Align both the image and link to prevent 404s/wrong project display.
-[](https://sonarcloud.io/summary/new_code?id=AIToolProject) +[](https://sonarcloud.io/summary/new_code?id=ai-tool-agent-system)
9-9: Repair broken ToC anchors (remove stray variation selector “️”).Fragments like “#️-architecture-overview” won’t resolve on GitHub and trigger MD051. Remove the invisible variation selector after “#”.
-- [🏗️ Architecture Overview](#️-architecture-overview) +- [🏗️ Architecture Overview](#-architecture-overview) ... -- [⚙️ Makefile Usage](#️-makefile-usage) +- [⚙️ Makefile Usage](#-makefile-usage) ... -- [🛠️ Available Tools](#️-available-tools) +- [🛠️ Available Tools](#-available-tools) ... -- - [🌤️ Weather Tool](#️-weather-tool) +- - [🌤️ Weather Tool](#-weather-tool) ... -- - [▶️ Running Tests](#️-running-tests) +- - [▶️ Running Tests](#-running-tests)Also applies to: 13-13, 16-16, 18-18, 24-24
345-353: Fix environment variables table formatting and escape usage.The table renders inconsistently and uses backticks around cell values plus an escaped asterisk (“Optional*”). Remove code formatting in cells and the backslash; keep the footnote explaining “Optional*”.
-| Variable | Required | Purpose | Example | -| ------------------- | ---------- | --------------------------- | --------------- | -| `WEATHER_API_KEY` | Yes | OpenWeatherMap API access | `abc123def456` | -| `GEMINI_API_KEY` | Optional\* | Google Gemini API access | `xyz789uvw012` | -| `OPENAI_API_KEY` | Optional\* | OpenAI API access | `sk-proj-...` | -| `SONAR_TOKEN_LOCAL` | Optional | Local SonarQube integration | `squ_abc123...` | -| `SONAR_TOKEN_CLOUD` | Optional | SonarCloud integration | `squ_def456...` | +| Variable | Required | Purpose | Example | +|--------------------|-----------|-----------------------------|----------------| +| WEATHER_API_KEY | Yes | OpenWeatherMap API access | abc123def456 | +| GEMINI_API_KEY | Optional* | Google Gemini API access | xyz789uvw012 | +| OPENAI_API_KEY | Optional* | OpenAI API access | sk-proj-... | +| SONAR_TOKEN_LOCAL | Optional | Local SonarQube integration | squ_abc123... | +| SONAR_TOKEN_CLOUD | Optional | SonarCloud integration | squ_def456... |
🧹 Nitpick comments (8)
README.md (8)
181-188: Replace hard tabs with spaces in the directory tree (MD010).The code block mixes hard tabs, which markdownlint flags and some renderers misalign.
- ├── utils/ # Contains relevant stubs and constants - | ├── constants/ # Test constants - | └── stubs/ # Test doubles and mocks - ├── llm/ # Unit tests relevant to llms - ├── agent/ # Unit tests relevant to agents - ├── tools/ # Unit tests relevant to the tools - ├── test_*_smoke.py # Smoke Integration tests for each agent + ├── utils/ # Contains relevant stubs and constants + │ ├── constants/ # Test constants + │ └── stubs/ # Test doubles and mocks + ├── llm/ # Unit tests relevant to llms + ├── agent/ # Unit tests relevant to agents + ├── tools/ # Unit tests relevant to the tools + ├── test_*_smoke.py # Smoke Integration tests for each agent
283-284: Update feature bullets to reflect dual sonar targets.The bullet says “make sonar” but you’ve split into sonar_local/sonar_cloud.
-- ✅ **SonarQube Integration**: `make sonar` runs quality analysis +- ✅ **SonarQube Integration**: `make sonar_local` / `make sonar_cloud` run quality analysis
733-735: Docs reference an “install” target that isn’t in the Makefile snippet.Either add the install target to the snippet above or remove this line here to avoid confusion.
Proposed Makefile addition (if you want to keep the docs as-is):
.PHONY: setup test run fmt +.PHONY: install ... +install: + $(PIP) install -r requirements.txt
209-209: Remove trailing colons from headings (MD026).Trailing punctuation in headings is flagged by markdownlint.
-### 🎯 Key Dependency Choices: +### 🎯 Key Dependency Choices ... -### What this means: +### What this means ... -### Requirements: +### Requirements ... -### Limitations: +### LimitationsAlso applies to: 1300-1300, 1308-1308, 1313-1313
1276-1276: Add a language to the MIT License code fence (MD040).Specify a language to satisfy markdownlint and improve rendering. “text” is appropriate here.
-``` +```text MIT License ...--- `100-129`: **Docs drift: “src/lib/…” vs “lib/…” paths and `src/app.py`.** Design pattern locations reference src/lib/... and src/app.py, but the Directory Structure shows a top-level lib/ (no src/). Confirm the actual layout and make both sections consistent to avoid broken paths. If the project truly uses src/, consider updating the tree root: ```diff -├── lib/ # Core application logic +├── src/ +│ └── lib/ # Core application logicAnd adjust all “Location” bullets accordingly (src/lib/...).
Also applies to: 150-176
846-853: Avoid stale coverage numbers in “Quality Gates”.“Currently: 81.4%” can rot. Prefer a dynamic badge or omit the exact value here and let SonarCloud display it.
-- ✅ Coverage ≥ 80% (Currently: 81.4%) +- ✅ Coverage ≥ 80% (see SonarCloud for current value)
426-463: Minor: escape asterisks where they denote multiplication in prose.In “Capabilities” you list “+, -, *, /, %, ^”. In Markdown inside a list it’s fine as-is, but you may drop the backslashes since they’re within a code-styled bullet context already. Optional clean-up.
- - Basic arithmetic operations (+, -, \*, /, %, ^) + - Basic arithmetic operations (+, -, *, /, %, ^)
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Context: # 🤖 AI Tool-Using Agent System A robust, extensible AI agent system that...
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Context: ...ncy conversion. ## 📋 Table of Contents - [🏗️ Architecture Overview](#️-architectur...
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Context: ... Overview](#️-architecture-overview) - 🎨 Design Patterns - [...
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Context: ...ogging--monitoring) - 💡 Solution Approach - [🚀 CI/CD & G...
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Context: ...cense](#-license) ## 🏗️ Architecture Overview The system follows a modular, lay...
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Context: ...#-license) ## 🏗️ Architecture Overview The system follows a modular, layered arc...
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Context: ...--> OpenAIAPI ``` ## 🎨 Design Patterns The codebase implements several well-esta...
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Context: ...src/lib/llm/base.py` and implementations - Purpose: Allows switching between diff...
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Context: ...Location**: src/lib/tools/base.py and src/lib/tools/tool_invoker.py - Purpose: Encapsulates tool execution a...
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Context: ...s, enabling parameterization and queuing - Implementation: Action base class fo...
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Context: ...as the invoker ### 🔒 Singleton Pattern - Location: src/lib/loggers/base.py - *...
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Context: ...# 🔒 Singleton Pattern - Location: src/lib/loggers/base.py - Purpose: Ensures single instances of l...
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Context: ...t logging ### 🏭 Simple Factory Pattern - Location: src/app.py - Purpose: C...
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Context: ...Simple Factory Pattern - Location: src/app.py - Purpose: Centralizes agent creation lo...
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Context: ...on user input ## 📁 Directory Structure ├── main.py # CLI entry point ├── requirements.txt # Python dependencies ├── Makefile # Build and test automation ├── conftest.py # Pytest configuration ├── constants/ # Application constants │ ├── api.py # API-related constants │ ├── llm.py # LLM prompts and configurations │ ├── messages.py # User-facing messages │ └── tools.py # Tool constants and URLs ├── data/ # Data files and schemas │ ├── knowledge_base.json # Static knowledge entries │ └── schemas/ # Pydantic data models │ ├── api_logging.py # API logging schemas │ ├── currency.py # Currency conversion schemas │ ├── knowledge_base.py # Knowledge base schemas │ ├── tool.py # Tool planning schemas │ └── weather.py # Weather API schemas ├── lib/ # Core application logic │ ├── agents/ # Agent implementations │ │ ├── base.py # Abstract agent base class │ │ ├── gemini.py # Gemini-powered agent │ │ └── openai.py # OpenAI-powered agent │ ├── api.py # Generic HTTP API client │ ├── errors/ # Custom exception classes │ │ ├── llms/ # LLM-specific errors │ │ └── tools/ # Tool-specific errors │ ├── llm/ # LLM strategy implementations │ │ ├── base.py # Abstract LLM strategy │ │ ├── gemini.py # Google Gemini integration │ │ └── openai.py # OpenAI integration │ ├── loggers/ # Logging system │ │ ├── __init__.py # Logger instances │ │ ├── base.py # Base logger with singleton │ │ ├── agent_logger.py # Agent-specific logging │ │ ├── api_logger.py # API call logging │ │ └── tool_logger.py # Tool execution logging │ └── tools/ # Tool implementations │ ├── base.py # Abstract tool interfaces │ ├── calculator.py # Mathematical calculations │ ├── currency_converter.py # Currency conversion │ ├── knowledge_base.py # Factual information retrieval │ ├── tool_invoker.py # Tool execution coordinator │ └── weather.py # Weather information ├── logs/ # Application logs (auto-created) │ ├── agent.log # Agent workflow logs │ ├── api.log # API interaction logs │ └── tool.log # Tool execution logs └── tests/ # Test suite ├── utils/ # Contains relevant stubs and constants | ├── constants/ # Test constants | └── stubs/ # Test doubles and mocks ├── llm/ # Unit tests relevant to llms ├── agent/ # Unit tests relevant to agents ├── tools/ # Unit tests relevant to the tools ├── test_*_smoke.py # Smoke Integration tests for each agent └── test_*.py # Generic unit tests for global modules ## 📦 Dependencies The system uses minimal,...
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Context: ...r global modules ``` ## 📦 Dependencies The system uses minimal, focused dependen...
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Context: ...ints ``` ### 🎯 Key Dependency Choices: - Pydantic: Provides robust data validati...
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Context: ...nt workflows: ### 📋 Available Commands bash # Development Setup make setup # Create virtual environment and install dependencies # Testing make test # Run all tests with coverage (generates XML report) # Code Quality make fmt # Format code with black make sonar_local # Run SonarQube analysis locally with docker compose (requires SONAR_TOKEN_LOCAL) make sonar_cloud # Run SonarQube analysis in sonarqube cloud (requires SONAR_TOKEN_CLOUD) # Application make run # Run the application with example query ### Makefile Features **Current Implementati...
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Context: ...therMap API access | abc123def456 | | GEMINI_API_KEY | Optional* | Goo...
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Context: ...ired for full functionality ## 🚀 Usage ### Command Line Interface The system provid...
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Context: ...sting strategies: ### 📊 Test Structure bash tests/ ├── agent/ # Agent integration tests │ ├── test_gemini_agent.py # Gemini agent tests (19 tests) │ └── test_openai_agent.py # OpenAI agent tests (13 tests) ├── llm/ # LLM strategy tests │ ├── test_gemini.py # Gemini LLM strategy tests (20 tests) │ ├── test_openai.py # OpenAI LLM strategy tests (16 tests) │ └── test_llm_stub.py # LLM stub functionality tests (7 tests) ├── tools/ # Tool unit tests │ ├── test_calculator.py # Calculator tool unit tests (13 tests) │ ├── test_currency_converter.py # Currency converter tests (15 tests) │ ├── test_weather.py # Weather tool tests (21 tests) │ └── test_weather_stub.py # Weather stub tests (19 tests) ├── test_api.py # API client tests (20 tests) ├── test_stub_smoke.py # Stub agent smoke tests (7 tests) ├── test_gemini_smoke.py # Gemini agent smoke tests (7 tests) ├── test_openai_smoke.py # OpenAI agent smoke tests (7 tests) ├── constants/ # Test constants and fixtures └── stubs/ # Test doubles and mocks ├── agent.py # Agent stub for testing ├── llm.py # LLM stub implementation └── tools/ # Tool stubs and mocks ###
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Context: ...hods) ### 📈 Test Categories & Coverage #### 1. Unit Tests (159 tests) **Agent Te...
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Context: ...s**: Complete query processing pipelines - ✅ Tool Coordination: Multi-tool quer...
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Context: ...TOKEN }} ``` ## 📝 Logging & Monitoring The system implements a comprehensive log...
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Context: ... Optimized per SonarQube recommendations - Code Quality: SonarCloud integration w...
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Context: ...and testing capabilities. ## 📄 License This project is licensed under the **MIT ...
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README.md
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♻️ Duplicate comments (2)
CONTRIBUTING.md (2)
7-15: Fix broken TOC anchors caused by emoji stripping in GitHub IDs.GitHub removes emoji from heading IDs, so these links currently break due to a leading hyphen. Remove the leading hyphen in each fragment.
- - [🚀 Getting Started](#-getting-started) - - [🌿 Branch Strategy](#-branch-strategy) - - [🐛 Reporting Issues](#-reporting-issues) - - [💡 Feature Requests](#-feature-requests) - - [🔧 Pull Request Process](#-pull-request-process) - - [📊 GitHub Projects & Assignment](#-github-projects--assignment) - - [🧪 Testing Guidelines](#-testing-guidelines) - - [📝 Code Style & Standards](#-code-style--standards) - - [📄 License Agreement](#-license-agreement) + - [🚀 Getting Started](#getting-started) + - [🌿 Branch Strategy](#branch-strategy) + - [🐛 Reporting Issues](#reporting-issues) + - [💡 Feature Requests](#feature-requests) + - [🔧 Pull Request Process](#pull-request-process) + - [📊 GitHub Projects & Assignment](#github-projects--assignment) + - [🧪 Testing Guidelines](#testing-guidelines) + - [📝 Code Style & Standards](#code-style--standards) + - [📄 License Agreement](#license-agreement)
33-36: Update repository name/URLs to this project (AIToolProject).The clone/remote instructions still reference a different repository, which will mislead contributors.
- git clone https://github.com/YOUR_USERNAME/optimizely-assignment-mirza-azwad.git - cd optimizely-assignment-mirza-azwad + git clone https://github.com/YOUR_USERNAME/AIToolProject.git + cd AIToolProject @@ - git remote add upstream https://github.com/ORIGINAL_OWNER/optimizely-assignment-mirza-azwad.git + git remote add upstream https://github.com/mirzaazwad/AIToolProject.gitAlso applies to: 50-52
🧹 Nitpick comments (7)
CONTRIBUTING.md (7)
151-160: Add a language to the fenced “Error Logs” block to satisfy MD040.-**Error Logs** -``` +**Error Logs** +```text Paste error logs here -``` +```
311-317: Add a language to the “Commit Message Format” block to satisfy MD040.-``` +```text <type>[optional scope]: <description> [optional body] [optional footer(s)]--- `48-58`: **Include environment configuration step (.env) in setup to avoid runtime surprises.** Given the PR’s new env vars (e.g., SONAR_TOKEN_LOCAL/SONAR_TOKEN_CLOUD), onboarding should instruct copying and editing .env before running tests or main.py. ```diff 3. **Set up the development environment**: @@ pip install -r requirements.txt ``` -4. **Add upstream remote**: +4. **Configure environment variables**: + + ```bash + cp .env.example .env + # Edit .env and set required keys (e.g., SONAR_TOKEN_LOCAL, SONAR_TOKEN_CLOUD, API keys) + ``` + +5. **Add upstream remote**: @@ -5. **Verify setup**: +6. **Verify setup**:
433-439: Milestone dates are outdated (point to 2024) — update or mark as TBD to avoid confusion in 2025.These dates can mislead contributors about current roadmap timing.
-| **v1.0.0** | Production-ready release | Q1 2024 | -| **v1.1.0** | Enhanced tool ecosystem | Q2 2024 | -| **v1.2.0** | Advanced LLM integrations | Q3 2024 | +| **v1.0.0** | Production-ready release | TBD | +| **v1.1.0** | Enhanced tool ecosystem | TBD | +| **v1.2.0** | Advanced LLM integrations | TBD |If you’d like, I can propose date updates consistent with your current GH Projects roadmap.
615-624: Nit: example type-hint import is missing Any.-from typing import Dict, List, Optional, Union +from typing import Any, Dict, List, Optional, Union
665-675: Consider bumping pre-commit tool versions to current stable releases.Black 22.3.0 and isort 5.10.1 are quite old; upgrading reduces formatting diffs across contributors using newer local versions. Keep in sync with your CI.
If you want me to check the latest recommended tags and open a small PR to update .pre-commit-config.yaml and CI, say the word.
291-298: Make “Required Checks” resilient to change.Hard-coding “180+ tests” and “90%+” can drift. Prefer referencing CI status and coverage gate settings (Sonar/Codecov) rather than exact counts.
-- **All tests passing** (180+ tests) -- **Code coverage maintained** (90%+) +- **All tests passing** (per CI) +- **Code coverage maintained** (per quality gate)
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🧰 Additional context used
🪛 LanguageTool
CONTRIBUTING.md
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Context: ...ntributing to AI Tool-Using Agent System Thank you for your interest in contributi...
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Context: ...nts` | ## 🐛 Reporting Issues ### Before Creating an Issue 1. **Search exi...
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Context: ... ### Issue Templates #### 🐛 Bug Report markdown **Bug Description** A clear and concise description of the bug. **Steps to Reproduce** 1. Run command: `python main.py "query"` 2. Expected behavior: ... 3. Actual behavior: ... **Environment** - OS: [e.g., Ubuntu 22.04, Windows 11, macOS 13] - Python Version: [e.g., 3.10.8] - Agent Type: [e.g., gemini, openai, stub] **Error Logs** Paste error logs here ``` **Additional ...
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Context: ...nformation. #### 💡 Feature Request markdown Feature Description A clear description of the proposed feature. Use Case Explain why this feature would be valuable. Proposed Implementation If you have ideas about implementation approach. Alternatives Considered Other solutions you've considered. Additional Context Any other relevant information. ``` ### Issue Labels | Label | Desc...
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Context: ...-------------------------- | --------- | | bug | Something isn't w...
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Context: ...ething isn't working | #d73a4a | | enhancement | New feature or re...
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Context: ... feature or request | #a2eeef | | documentation | Improvements to d...
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Context: ...rovements to documentation | #0075ca | | good first issue | Good for newcomer...
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Context: ...d for newcomers | #7057ff | | help wanted | Extra attention i...
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Context: ...ra attention is needed | #008672 | | priority: high | High priority iss...
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Context: ... | #008672 | | priority: high | High priority issue | #b60205 | | `priori...
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Context: ... | #b60205 | | priority: medium | Medium priority issue | #fbca04 | | `priority...
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Context: ... | #fbca04 | | priority: low | Low priority issue | #0e8a16 | ## 💡 F...
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Context: ... | #0e8a16 | ## 💡 Feature Requests ### Feature Request Process 1. **Create an i...
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Context: ...Discuss the proposal** with maintainers and community 3. Wait for approval befo...
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Context: ...Feature Categories #### 🛠️ New Tools - Must follow the existing tool interface (...
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Context: ...ocumentation #### 🤖 LLM Integrations - Must implement the LLMStrategy interfac...
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Context: ...dling for API failures - Should include rate limiting considerations #### 🏗️ **Architecture...
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Context: ...rations #### 🏗️ Architecture Changes - Require design document and discussion - ...
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Context: ...ed comprehensive test coverage - Should include migration guide if applicable ## 🔧 Pu...
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Context: ...f applicable ## 🔧 Pull Request Process ### Before Creating a PR 1. **Sync with upst...
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Context: ...No merge conflicts* with target branch - Descriptive commit messages #### 📝 *...
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Context: ...essages** #### 📝 Code Review Process 1. Automated checks must pass 2. **At leas...
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Context: ...n ``` Types: - feat: New feature - `fix`: Bug fix - `docs`: Documentation change...
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Context: ... - feat: New feature - fix: Bug fix - docs: Documentation changes - test: Adding...
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Context: ... Bug fix - docs: Documentation changes - test: Adding or updating tests - refactor:...
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Context: ...anges - test: Adding or updating tests - refactor: Code refactoring - perf: Performance...
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Context: ...ing tests - refactor: Code refactoring - perf: Performance improvements - chore: Ma...
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Context: ...oring - perf: Performance improvements - chore: Maintenance tasks ## 📊 GitHub Projec...
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Context: ...asks ## 📊 GitHub Projects & Assignment The project uses GitHub Projects for ...
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Context: ...ect Boards #### 🎯 Main Project Board - Location: Repository → Projects → "AI T...
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Context: ...→ Projects → "AI Tool Agent Development" - Purpose: Track all development activit...
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Context: ...pose**: Track all development activities - Views: - Board View: Kanban-styl...
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Context: ... all development activities - Views: - Board View: Kanban-style task manageme...
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Context: ...ard View**: Kanban-style task management - Table View: Detailed task information ...
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Context: ...Table View*: Detailed task information - Roadmap View: Timeline and milestones ...
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Context: ... and milestones #### 📋 Board Columns | Column | Description ...
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Context: ...nment Process #### 🙋 Self-Assignment 1. Browse available issues in "Ready" colu...
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Context: ... #### 👥 Maintainer Assignment - High Priority Issues: Assigned by maintainers based...
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Context: ...signed by maintainers based on expertise - Good First Issues: Reserved for new co...
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Context: ... Issues**: Reserved for new contributors - Complex Features: Assigned to experien...
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Context: ...butor** at a time (for new contributors) - Two weeks maximum per assignment - **C...
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Context: ...Communicate delays in issue comments - Unassign yourself if unable to complet...
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Context: ...Management #### 🎯 Current Milestones | Milestone | Description ...
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Context: ...escription | Target Date | | ---------- | -------------------------...
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Context: ...------------------------ | ----------- | | v1.0.0 | Production-ready release ...
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Context: ...roduction-ready release | Q1 2024 | | v1.1.0 | Enhanced tool ecosystem ...
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Context: ...nhanced tool ecosystem | Q2 2024 | | v1.2.0 | Advanced LLM integrations...
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Context: ...2024 | #### 📈 Milestone Criteria - All critical issues resolved - **Test c...
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Context: ...* - Progress updates every few days - Questions and clarifications - **Desig...
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Context: ...ew days - Questions and clarifications - Design discussions - **Review feedback...
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Context: ... clarifications** - Design discussions - Review feedback #### 📧 **Maintainer ...
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Context: ...er Contact** - Complex issues: Tag @maintainer-username - Urgent matters: Create high-priority i...
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Context: ...nt matters**: Create high-priority issue - General questions: Use issue comments ...
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Context: ...edits #### 🏆 Contributor Recognition - README credits for significant contribu...
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Context: ... credits** for significant contributions - Release notes mention for features - *...
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Context: ...ures - GitHub contributor statistics - Special recognition for outstanding wo...
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Context: ...ing work #### 📊 Contribution Metrics - Issues resolved - PRs merged - **Co...
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Context: ...tribution Metrics** - Issues resolved - PRs merged - **Code quality improvemen...
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Context: ...s merged** - Code quality improvements - Documentation contributions - **Commun...
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Context: ...ements** - Documentation contributions - Community support ## 🧪 Testing Guide...
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Context: ...nity support** ## 🧪 Testing Guidelines ### Test Requirements All contributions must...
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Context: ...tion Tests**: For component interactions - Smoke Tests: For end-to-end workflows ...
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Context: ...icable) #### 📊 Coverage Requirements - Minimum Coverage: 90% for new code - **...
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Context: ...Writing Tests #### 🏗️ Test Structure python class TestNewFeature: """Test suite for new feature.""" @pytest.fixture def setup_feature(self): """Set up test fixtures.""" return FeatureClass() def test_basic_functionality(self, setup_feature): """Test basic feature functionality.""" # Arrange input_data = "test input" expected_output = "expected result" # Act result = setup_feature.process(input_data) # Assert assert result == expected_output def test_error_handling(self, setup_feature): """Test error handling scenarios.""" with pytest.raises(SpecificError, match="expected error message"): setup_feature.process(invalid_input) #### 🎯 Test Categories | Test Type ...
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Context: ...th isort #### 📝 Naming Conventions python # Classes: PascalCase class WeatherTool: pass # Functions/Variables: snake_case def get_weather_data(): api_key = "your_key" # Constants: UPPER_SNAKE_CASE API_BASE_URL = "https://api.example.com" # Private methods: _leading_underscore def _internal_method(self): pass #### 📚 Documentation ```python def calcu...
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Context: ...): pass #### 📚 **Documentation** python def calculate_percentage(value: float, percentage: float) -> float: """Calculate percentage of a value. Args: value: The base value percentage: The percentage to calculate (0-100) Returns: The calculated percentage value Raises: ValueError: If percentage is negative or > 100 Example: >>> calculate_percentage(100, 25) 25.0 """ if percentage < 0 or percentage > 100: raise ValueError("Percentage must be between 0 and 100") return value * (percentage / 100) ``` ### Type Hints Use comprehensive type hints:...
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Context: ...Quality Tools #### 🛠️ Required Tools bash # Format code black . # Sort imports isort . # Type checking (recommended) mypy src/ # Linting (recommended) flake8 src/ #### ⚙️ Pre-commit Hooks (Recommended) ``...
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Context: ...b Discussions for general questions Happy Contributing! 🚀
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🪛 markdownlint-cli2 (0.17.2)
CONTRIBUTING.md
156-156: Fenced code blocks should have a language specified
(MD040, fenced-code-language)
311-311: Fenced code blocks should have a language specified
(MD040, fenced-code-language)
Update issue templates
Merge pull request #1 from mirzaazwad/improvements
1 participant
Suggested Improvements to the system for better:
Summary by CodeRabbit
New Features
Documentation
Chores
Refactor
Tests