Query: Introduce caching for context payloads on HTTP remote URLs#31
Query: Introduce caching for context payloads on HTTP remote URLs#31
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""" WalkthroughThe changes refactor the context loading mechanism for CrateDB's query system by replacing the static Changes
Sequence Diagram(s)sequenceDiagram
participant User
participant CrateDbKnowledgeConversation
participant CrateDbKnowledgeContextLoader
participant HTTP/Filesystem
User->>CrateDbKnowledgeConversation: Ask question (with use_knowledge)
CrateDbKnowledgeConversation->>CrateDbKnowledgeContextLoader: get_prompt()
alt Context URL is HTTP
CrateDbKnowledgeContextLoader->>HTTP/Filesystem: Fetch context (with hishel cache)
else Context file path
CrateDbKnowledgeContextLoader->>HTTP/Filesystem: Read context file
end
CrateDbKnowledgeContextLoader-->>CrateDbKnowledgeConversation: Return prompt
CrateDbKnowledgeConversation-->>User: Respond with answer using prompt
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Actionable comments posted: 5
🧹 Nitpick comments (5)
.gitignore (1)
7-7: Ensure cache file patterns are comprehensive.Adding
*.sqlitewill ignore SQLite cache files created byhishel. Consider also ignoring any directory-based cache patterns (if applicable), such as a.cache/folder or hishel-specific cache directories.CHANGES.md (1)
19-19: Maintain formatting consistency.The new entry under "Query" is essential, but please align its wrapping and indentation with neighboring entries for consistency (e.g., mirror the multiline style used above).
README.md (1)
167-170: Clarify CLI grouping forlist-questions.The
list-questionssnippet is useful but sits without a subheading. Consider adding a subheading (e.g.,##### List Questions) or grouping it under the existing CLI block to improve discoverability.src/cratedb_about/query/core.py (1)
115-127: Double fetching of remote context – cache at call-site to avoid redundant I/O
self.context.get_prompt()is invoked for every single request and again in the Claude path. Althoughhishelcaches HTTP responses, a local file read is still repeated and the property logic is re-executed. Storing the prompt once perCrateDbKnowledgeConversationinstance avoids the extra work and simplifies testing.- try: - prompt = self.context.get_prompt() - input_messages.append( + try: + # Lazily cache prompt on the instance + if not hasattr(self, "_prompt"): + self._prompt = self.context.get_prompt() + input_messages.append( Message( - content=[ResponseInputTextParam(text=prompt, type="input_text")], + content=[ResponseInputTextParam(text=self._prompt, type="input_text")],src/cratedb_about/query/model.py (1)
60-65: SQLite cache location not configurable – potential write-permission and concurrency issues
hishel.SQLiteStorage()createshishel-cache.sqlite3in the current working directory.
• In read-only deployments (e.g. Docker) this will raiseOperationalError.
• Concurrent processes may corrupt the file (SQLite ≠ multi-writer friendly).Expose a path or allow in-memory cache via env-var:
-storage = hishel.SQLiteStorage(ttl=self.cache_ttl) +cache_path = os.getenv("ABOUT_CACHE_PATH", ":memory:") +storage = hishel.SQLiteStorage(path=cache_path, ttl=self.cache_ttl)
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.gitignore(1 hunks)CHANGES.md(1 hunks)README.md(2 hunks)docs/backlog.md(1 hunks)pyproject.toml(1 hunks)src/cratedb_about/query/core.py(5 hunks)src/cratedb_about/query/model.py(2 hunks)tests/test_query.py(2 hunks)
🧰 Additional context used
🧠 Learnings (1)
src/cratedb_about/query/model.py (1)
Learnt from: amotl
PR: crate/about#29
File: src/cratedb_about/query/model.py:76-76
Timestamp: 2025-05-15T11:27:22.793Z
Learning: In the cratedb_about package, the `Settings.llms_txt_payload` classproperty in `src/cratedb_about/query/model.py` handles loading context files from either a local filesystem path or an HTTP URL based on the `ABOUT_CONTEXT_URL` environment variable.
🧬 Code Graph Analysis (1)
src/cratedb_about/query/core.py (1)
src/cratedb_about/query/model.py (3)
ContextLoader(47-128)CrateDbContextLoader(131-141)get_prompt(117-128)
🔇 Additional comments (4)
pyproject.toml (1)
76-76:Details
❓ Verification inconclusive
Verify the new dependency version.
The addition of
hishel<0.2is required to support HTTP caching, but please confirm that the version constraint aligns with the intended API (e.g.,MockTransportand cache TTL configuration) and is available on PyPI.Run this script to check the latest
hishelversion and ensure compatibility:
🏁 Script executed:
#!/usr/bin/env bash # Check latest hishel version on PyPI curl -s https://pypi.org/pypi/hishel/json | jq '.info.version'Length of output: 70
Confirm hishel version constraint
- The version constraint
hishel<0.2is valid: the latest release on PyPI is 0.1.2, which satisfies<0.2.- Please verify that version 0.1.2 provides the required HTTP-caching APIs (e.g.
MockTransportand cache TTL configuration).docs/backlog.md (1)
12-12: Approve backlog item addition.The note about
test_cli_bundlebeing heavy is a helpful reminder for future optimizations.README.md (1)
179-185:Details
✅ Verification successful
Verify environment variable documentation.
Please confirm that the documented default for
ABOUT_CONTEXT_URL(https://cdn.crate.io/about/v1/llms-full.txt) and the default cache TTL (3600 seconds) match the actual defaults inCrateDbContextLoader. If there’s any mismatch, update the README accordingly.
🏁 Script executed:
#!/usr/bin/env bash # Verify default context URL and TTL in code grep -R "DEFAULT_CACHE_TTL" -n src/cratedb_about/query/model.py grep -R "DEFAULT_CONTEXT_URL" -n src/cratedb_about/query/model.pyLength of output: 129
The previous grep didn’t locate those constants in
model.py. Let’s instead find whereCrateDbContextLoaderis defined and inspect its default parameters:
🏁 Script executed:
#!/usr/bin/env bash # Locate the loader class rg -n "class.*CrateDbContextLoader" -n # Search for context_url default rg -n "context_url" -n src/cratedb_about # Search for cache_ttl default rg -n "cache_ttl" -n src/cratedb_aboutLength of output: 1123
Defaults Verified – No Changes Needed
I’ve confirmed that in
CrateDbContextLoader(src/cratedb_about/query/model.py):
context_urldefaults to"https://cdn.crate.io/about/v1/llms-full.txt"default_cache_ttlis3600secondsThese match the values documented in the README, so no updates are required.
src/cratedb_about/query/core.py (1)
156-157: Check compatibility ofinstructions=parameter withopenaiSDK
client.responses.create()only acceptssystemorinstructionsdepending on the beta SDK version (0.4+). If the running version still expectssystem, the call will raiseTypeError: got unexpected keyword argument 'instructions'. Please verify against the pinnedopenaiversion and consider a graceful fallback:- response = client.responses.create( + response = client.responses.create( model=model, reasoning=reasoning, - instructions=self.context.instructions, + system=self.context.instructions, # fallback for older SDKs input=input_messages, # type: ignore[arg-type] )
| chat = Chat(model, sp=self.context.instructions) | ||
| if self.use_knowledge: | ||
| try: | ||
| chat(Settings.get_prompt()) | ||
| chat(self.context.get_prompt()) | ||
| except Exception as e: | ||
| print(f"Warning: Failed to load knowledge context: {e}", file=sys.stderr) # noqa: T201 |
There was a problem hiding this comment.
Chat(model, sp=...) very likely uses a wrong keyword argument
claudette.Chat’s constructor expects the system-prompt via the keyword argument system, not sp (latest 0.4.x API). Passing an unexpected kw-arg will raise TypeError at runtime, breaking every Claude request.
-chat = Chat(model, sp=self.context.instructions)
+chat = Chat(model, system=self.context.instructions)📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| chat = Chat(model, sp=self.context.instructions) | |
| if self.use_knowledge: | |
| try: | |
| chat(Settings.get_prompt()) | |
| chat(self.context.get_prompt()) | |
| except Exception as e: | |
| print(f"Warning: Failed to load knowledge context: {e}", file=sys.stderr) # noqa: T201 | |
| chat = Chat(model, system=self.context.instructions) | |
| if self.use_knowledge: | |
| try: | |
| chat(self.context.get_prompt()) | |
| except Exception as e: | |
| print(f"Warning: Failed to load knowledge context: {e}", file=sys.stderr) # noqa: T201 |
🤖 Prompt for AI Agents
In src/cratedb_about/query/core.py around lines 84 to 89, the Chat constructor
is called with the keyword argument 'sp', which is incorrect. Replace
'sp=self.context.instructions' with 'system=self.context.instructions' to match
the expected parameter name in the claude.Chat API and prevent runtime
TypeErrors.
There was a problem hiding this comment.
@coderabbitai: The code currently uses claudette version 0.1.8.
There was a problem hiding this comment.
@amotl Thank you for the clarification about using claudette version 0.1.8. You're absolutely right - in version 0.1.8, the Chat constructor uses the parameter name sp (rather than system which is used in newer versions like 0.4.x).
I apologize for the confusion in my previous comment. The current code is correct for the version you're using.
✏️ Learnings added
Learnt from: amotl
PR: crate/about#31
File: src/cratedb_about/query/core.py:86-91
Timestamp: 2025-05-15T16:51:02.000Z
Learning: In claudette version 0.1.8, the Chat constructor uses the parameter name `sp` for system prompts, not `system` which is used in newer versions (0.4.x+).
Note: Learnings are effective only in the context of similar code segments. To apply general coding guidelines, please configure review instructions. You can manage existing learnings in the app.
tests/test_query.py
Outdated
| @pytest.mark.skip(reason="Does not work after introducing Hishel yet. Why?") | ||
| def test_model_payload_from_http(monkeypatch): | ||
| # Mock HTTP URL and response. | ||
| test_url = "http://example.com/context.txt" | ||
| test_content = "Test CrateDB HTTP content" | ||
| requests_mock.get(test_url, text=test_content) | ||
| test_content = "Test HTTP content" | ||
|
|
||
| # Set the environment variable to the HTTP URL. | ||
| # Point `ABOUT_CONTEXT_URL` to the temporary URL. | ||
| # Point the environment variable `ABOUT_CONTEXT_URL` to the HTTP URL. | ||
| monkeypatch.setenv("ABOUT_CONTEXT_URL", test_url) | ||
|
|
||
| # Verify HTTP request is made and content is returned. | ||
| assert Settings.llms_txt_payload == test_content | ||
| # Verify the outcome. | ||
| with hishel.MockTransport() as transport: | ||
| transport.add_responses([httpx.Response(status_code=200, text=test_content)]) | ||
| loader = CrateDbContextLoader() | ||
| result = loader.get_prompt() | ||
|
|
||
| assert loader.url == test_url | ||
| assert test_content in result | ||
| assert "necessary context" in result | ||
|
|
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🛠️ Refactor suggestion
HTTP payload test skipped – consider hishel.MockTransport fix rather than blanket skip
The test became xfail after switching to Hishel. hishel supports injecting a custom httpx.MockTransport. Removing the skip would restore coverage of the critical HTTP branch:
@pytest.mark.usefixtures("monkeypatch")
def test_model_payload_from_http(monkeypatch):
test_url = "http://example.com/context.txt"
test_content = "Test HTTP content"
monkeypatch.setenv("ABOUT_CONTEXT_URL", test_url)
with hishel.MockTransport() as transport:
transport.add_responses(
[httpx.Response(200, text=test_content)]
)
loader = CrateDbContextLoader()
result = loader.get_prompt()
assert loader.url == test_url
assert test_content in result
assert "necessary context" in result🤖 Prompt for AI Agents
In tests/test_query.py around lines 103 to 121, the test_model_payload_from_http
test is currently skipped due to issues with hishel.MockTransport after
switching to Hishel. To fix this, remove the skip decorator and ensure the test
uses hishel.MockTransport correctly by adding the HTTP response inside the with
block, then instantiate CrateDbContextLoader and call get_prompt within the same
block. Finally, move the assertions outside the with block to properly verify
the results and restore coverage of the HTTP payload loading branch.
There was a problem hiding this comment.
@coderabbitai: Unfortunately, the software test fails, that's why we needed to start skipping it.
There was a problem hiding this comment.
@amotl I see the issue now - thank you for clarifying. Looking at the test more closely, I noticed the class name CrateDbContextLoader doesn't match the actual class CrateDbKnowledgeContextLoader used elsewhere, but that's likely not the only challenge.
Properly mocking HTTP clients with caching can be tricky, especially with libraries like Hishel that have their own testing patterns. It's completely reasonable to skip this test for now while focusing on delivering the primary functionality. Perhaps this could be revisited in a future PR specifically focused on test improvements.
✏️ Learnings added
Learnt from: amotl
PR: crate/about#31
File: tests/test_query.py:0-0
Timestamp: 2025-05-15T17:02:48.008Z
Learning: The CrateDB About package uses Hishel for HTTP caching in the `CrateDbKnowledgeContextLoader` class. Tests for HTTP functionality using `hishel.MockTransport` are currently skipped due to challenges with properly mocking the HTTP client.
Note: Learnings are effective only in the context of similar code segments. To apply general coding guidelines, please configure review instructions. You can manage existing learnings in the app.
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Actionable comments posted: 1
♻️ Duplicate comments (4)
src/cratedb_about/query/model.py (2)
84-95: Add validation for negative TTL valuesThe
cache_ttlmethod does not check for negative values, which could disable cache eviction. It's important to validate that the TTL is positive.
107-109: Add file check and explicit encoding when reading text filesThe current implementation only checks if the path exists but doesn't verify if it's a file (not a directory). This could lead to
IsADirectoryErrorwhen attempting to read a directory. Additionally, not specifying an encoding may cause locale-related issues.tests/test_query.py (2)
142-151: Fix exception handling test by actually raising an exceptionThe current test is incorrect because it doesn't actually test exception handling. The lambda returns an Exception object rather than raising it, so the exception block in
get_prompt()is never executed.
106-124: 🛠️ Refactor suggestionFix skipped HTTP test using MockTransport
The test for HTTP context loading is currently skipped. This reduces coverage for a critical functionality path. The test implementation looks correct with the MockTransport pattern, so the skip should be removed.
Remove the skip decorator to enable this test:
-@pytest.mark.skip(reason="Does not work after introducing Hishel yet. Why?") def test_model_payload_from_http(monkeypatch): # Mock HTTP URL and response. test_url = "http://example.com/context.txt" test_content = "Test HTTP content" # Point the environment variable `ABOUT_CONTEXT_URL` to the HTTP URL. monkeypatch.setenv("ABOUT_CONTEXT_URL", test_url) # Verify the outcome. with hishel.MockTransport() as transport: transport.add_responses([httpx.Response(status_code=200, text=test_content)]) loader = CrateDbKnowledgeContextLoader() result = loader.get_prompt() assert loader.url == test_url assert test_content in result assert "necessary context" in result
🧹 Nitpick comments (1)
tests/test_query.py (1)
28-31: Add test for cache TTL environment variable overrideThe test suite verifies the URL environment variable override, but there's no equivalent test for the cache TTL environment variable. Consider adding a test case for
ABOUT_CACHE_TTLoverride.Add a test for the cache TTL environment variable:
def test_model_loader_cache_ttl_env(loader, mocker): mocker.patch.dict("os.environ", {"ABOUT_CACHE_TTL": "7200"}) assert loader.cache_ttl == 7200
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.gitignore(1 hunks)CHANGES.md(1 hunks)README.md(2 hunks)docs/backlog.md(1 hunks)pyproject.toml(1 hunks)src/cratedb_about/query/core.py(5 hunks)src/cratedb_about/query/model.py(2 hunks)tests/test_query.py(2 hunks)
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- pyproject.toml
- CHANGES.md
- .gitignore
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- README.md
- docs/backlog.md
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🪛 GitHub Check: codecov/patch
src/cratedb_about/query/model.py
[warning] 73-73: src/cratedb_about/query/model.py#L73
Added line #L73 was not covered by tests
🔇 Additional comments (5)
src/cratedb_about/query/model.py (3)
57-59: LGTM: Appropriate default cache TTLSetting a default cache TTL of 3600 seconds (1 hour) is a good balance between data freshness and resource efficiency, aligning with the PR objectives.
123-129: Good error handling with fallback contentThe implementation properly handles exceptions when fetching context by logging the error and falling back to a minimal context rather than crashing or returning empty content. This improves robustness.
60-65:Details
✅ Verification successful
Verify Hishel client configuration is optimal
The HTTP client is configured with
allow_stale=True, which allows serving stale responses when the origin is unreachable. This is a good choice for resilience, but ensure you're aware of the freshness vs. availability tradeoff.
🏁 Script executed:
#!/bin/bash # Look for any other configurations or uses of hishel in the codebase rg -A 3 -B 3 "hishel\.(Controller|CacheClient|SQLiteStorage)" --type pyLength of output: 696
Hishel Configuration Check Completed
A repository-wide search shows this is the only instantiation of
hishel.Controller,SQLiteStorage, andCacheClient. No other configurations need to be updated.• Ensure that
allow_stale=Truealigns with your freshness vs. availability requirements.
• All other client settings are centralized here insrc/cratedb_about/query/model.py.tests/test_query.py (2)
12-18: Good fixture implementation for reusable loader instanceCreating a fixture for the loader instance improves test readability and reduces duplication. This is a good practice for maintainable tests.
126-140: Good test for invalid source scenarioThis test properly verifies the fallback behavior when an invalid source is provided. It checks both the logging output and the fallback content, ensuring robust error handling.
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Actionable comments posted: 0
🧹 Nitpick comments (2)
tests/test_query.py (2)
116-133: HTTP payload test still skipped with "Why?" commentThe test is currently skipped with a reason that includes "Why?" which seems to be an unresolved question. Based on the past review comments, there are acknowledged challenges with properly mocking HTTP clients with caching using
hishel.MockTransport.While skipping problematic tests temporarily is acceptable, consider:
- Removing the questioning "Why?" from the skip reason to indicate it's a known limitation
- Adding a TODO comment with more details about the specific issue
-@pytest.mark.skip(reason="Does not work after introducing Hishel yet. Why?") +@pytest.mark.skip(reason="Test incompatible with Hishel caching implementation") +# TODO: Fix HTTP mocking with Hishel. Current implementation fails during test execution. def test_model_payload_from_http(monkeypatch):
33-40: Consider adding test for the configured ABOUT_CACHE_TTL valueThere are tests for invalid TTL values, but no test verifying that a valid ABOUT_CACHE_TTL value is correctly configured. Consider adding a test to verify that the cache_ttl property reflects the environment variable value when set.
def test_loader_valid_ttl(mocker): # Set a valid cache TTL value ttl_value = "7200" # 2 hours in seconds mocker.patch.dict("os.environ", {"ABOUT_CACHE_TTL": ttl_value}) # Instantiate loader and verify TTL loader = CrateDbKnowledgeContextLoader() assert loader.cache_ttl == 7200
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.gitignore(1 hunks)CHANGES.md(1 hunks)README.md(2 hunks)docs/backlog.md(1 hunks)pyproject.toml(1 hunks)src/cratedb_about/query/core.py(5 hunks)src/cratedb_about/query/model.py(2 hunks)tests/test_query.py(2 hunks)
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- pyproject.toml
- CHANGES.md
- .gitignore
- README.md
- docs/backlog.md
- src/cratedb_about/query/core.py
- src/cratedb_about/query/model.py
🔇 Additional comments (4)
tests/test_query.py (4)
152-164: Good fix for the previous exception handling issueThe implementation correctly addresses the previous review comment by using a function that raises an exception rather than returning an Exception object. This ensures that the error handling logic in
get_prompt()is properly tested.
167-184: Good validation of ABOUT_CACHE_TTL environment variableThese tests properly validate the error handling for invalid cache TTL values, covering both non-integer strings and negative integers. This ensures the cache TTL validation logic works correctly, which is a key part of the new caching feature.
12-17: Good practice: Using fixture for loader instanceThe introduction of a pytest fixture for the loader instance is a good practice. It reduces code duplication and makes tests more maintainable.
136-149: Good fallback behavior testingThe test for invalid source paths effectively verifies that:
- The failure is properly logged
- The system continues to function by using fallback content
- The error doesn't propagate to the caller
This is a robust approach to error handling that maintains system resilience.
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♻️ Duplicate comments (1)
tests/test_query.py (1)
116-134: HTTP payload test skipped – consider a more detailed TODO commentWhile skipping the test is reasonable given the known challenges with Hishel mocking (as noted in the past review comments), consider enhancing the TODO comment with more specific details about the failure mode or future resolution approach.
-# TODO: Fix HTTP mocking with Hishel. Current implementation fails during test execution. +# TODO: Fix HTTP mocking with Hishel. Current implementation fails during test execution. +# The test fails because [specific error/behavior]. Potential approaches to investigate: +# 1. [approach 1] +# 2. [approach 2]
🧹 Nitpick comments (1)
tests/test_query.py (1)
43-47: Minor typo in docstringThere's a small typo in the docstring.
- Validate the prompt contex payload. + Validate the prompt context payload.
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🔇 Additional comments (7)
tests/test_query.py (7)
168-176: LGTM: Test correctly validates cache TTL configurationThe test properly checks that the loader respects the
ABOUT_CACHE_TTLenvironment variable for a valid TTL value.
178-186: LGTM: Proper validation for non-integer TTL valuesThe test correctly verifies that the loader rejects non-integer TTL values with an appropriate error message.
188-195: LGTM: Proper validation for negative TTL valuesThe test correctly verifies that the loader rejects negative TTL values with an appropriate error message.
153-166: LGTM: Fixed exception handling testThe implementation correctly addresses the previous issue mentioned in past review comments where the test returned an Exception object instead of raising it.
12-17: LGTM: Well-designed fixture for loader instanceThe fixture provides a clean way to access the
CrateDbKnowledgeContextLoaderinstance throughout the tests, following best practices for pytest fixtures.
33-40: LGTM: Good error handling test for empty URLThe test correctly verifies the loader's behavior when faced with an empty URL environment variable, validating both the exception and its message.
137-151: LGTM: Well-structured test for invalid source handlingThe test effectively validates the fallback behavior when an invalid context source is provided, including both log message verification and fallback content checking.
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Remote resources will be cached for one hour (3600 seconds) to strike the balance between freshness and resource saving. Use the `ABOUT_CACHE_TTL` environment variable to reconfigure that value in seconds.
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About
Within the "Query" subsystem, cache remote resources for one hour (3600 seconds) to strike the balance between freshness and resource saving. Use the
ABOUT_CACHE_TTLenvironment variable to reconfigure that value in seconds.