Spaces:
Paused
Paused
Fix datetime deprecation warnings
Browse files- Replace datetime.utcnow() with datetime.now(timezone.utc)
- Add timezone import to all affected files
- All 156 tests passing
- Warnings reduced from 78 to 9 (remaining are SQLite thread safety warnings)
data/feedback.jsonl
CHANGED
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@@ -1 +1,5 @@
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| 1 |
{"query_text": "test query", "semantic_plan": {"intent": "find_contracts", "filters": [], "projections": ["contract_identifier"], "aggregations": [], "group_by": null, "order_by": null, "limit": 10}, "feedback_type": "good", "feedback_text": "Works great!", "correct_result": null, "timestamp": "2025-11-07T21:26:46.679147"}
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{"query_text": "test query", "semantic_plan": {"intent": "find_contracts", "filters": [], "projections": ["contract_identifier"], "aggregations": [], "group_by": null, "order_by": null, "limit": 10}, "feedback_type": "good", "feedback_text": "Works great!", "correct_result": null, "timestamp": "2025-11-07T21:26:46.679147"}
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| 2 |
+
{"query_text": "test query", "semantic_plan": {"intent": "find_contracts", "filters": [], "projections": ["contract_identifier"], "aggregations": [], "group_by": null, "order_by": null, "limit": 10}, "feedback_type": "good", "feedback_text": "Works great!", "correct_result": null, "timestamp": "2025-11-07T21:30:28.042424"}
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+
{"query_text": "test query", "semantic_plan": {"intent": "find_contracts", "filters": [], "projections": ["contract_identifier"], "aggregations": [], "group_by": null, "order_by": null, "limit": 10}, "feedback_type": "good", "feedback_text": "Works great!", "correct_result": null, "timestamp": "2025-11-08T00:57:50.346582"}
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+
{"query_text": "test query", "semantic_plan": {"intent": "find_contracts", "filters": [], "projections": ["contract_identifier"], "aggregations": [], "group_by": null, "order_by": null, "limit": 10}, "feedback_type": "good", "feedback_text": "Works great!", "correct_result": null, "timestamp": "2025-11-08T01:18:35.490463Z"}
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+
{"query_text": "test query", "semantic_plan": {"intent": "find_contracts", "filters": [], "projections": ["contract_identifier"], "aggregations": [], "group_by": null, "order_by": null, "limit": 10}, "feedback_type": "good", "feedback_text": "Works great!", "correct_result": null, "timestamp": "2025-11-08T01:19:25.274999Z"}
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schema_translator/feedback_loop.py
CHANGED
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@@ -6,7 +6,7 @@ and schema mapping over time.
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"""
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from typing import List, Dict, Any, Optional, Tuple
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-
from datetime import datetime, timedelta
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from collections import defaultdict, Counter
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import json
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import logging
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@@ -99,7 +99,7 @@ class FeedbackLoop:
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Returns:
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Summary statistics
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"""
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-
cutoff_date = datetime.
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recent_feedback = [
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f for f in self.feedback_cache
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if f.timestamp >= cutoff_date
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@@ -352,7 +352,7 @@ class FeedbackLoop:
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feedback_to_export = self.feedback_cache
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if days:
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-
cutoff_date = datetime.
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feedback_to_export = [
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f for f in feedback_to_export
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if f.timestamp >= cutoff_date
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@@ -377,7 +377,7 @@ class FeedbackLoop:
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Returns:
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Number of entries removed
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"""
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-
cutoff_date = datetime.
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old_count = len(self.feedback_cache)
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self.feedback_cache = [
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@@ -423,7 +423,7 @@ class FeedbackLoop:
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type_counts = Counter(f.feedback_type for f in self.feedback_cache)
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-
now = datetime.
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ages = [(now - f.timestamp).days for f in self.feedback_cache]
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return {
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"""
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from typing import List, Dict, Any, Optional, Tuple
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+
from datetime import datetime, timedelta, timezone
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from collections import defaultdict, Counter
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import json
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import logging
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Returns:
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Summary statistics
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"""
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+
cutoff_date = datetime.now(timezone.utc) - timedelta(days=days)
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recent_feedback = [
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f for f in self.feedback_cache
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if f.timestamp >= cutoff_date
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feedback_to_export = self.feedback_cache
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if days:
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+
cutoff_date = datetime.now(timezone.utc) - timedelta(days=days)
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feedback_to_export = [
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f for f in feedback_to_export
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if f.timestamp >= cutoff_date
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Returns:
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Number of entries removed
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"""
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+
cutoff_date = datetime.now(timezone.utc) - timedelta(days=days)
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old_count = len(self.feedback_cache)
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self.feedback_cache = [
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type_counts = Counter(f.feedback_type for f in self.feedback_cache)
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+
now = datetime.now(timezone.utc)
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ages = [(now - f.timestamp).days for f in self.feedback_cache]
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return {
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schema_translator/models.py
CHANGED
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@@ -1,6 +1,6 @@
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"""Data models for Schema Translator using Pydantic."""
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-
from datetime import datetime
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from enum import Enum
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from typing import Any, Dict, List, Optional
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@@ -238,7 +238,7 @@ class QueryFeedback(BaseModel):
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feedback_type: str = Field(..., description="Type of feedback (incorrect, missing, good)")
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feedback_text: Optional[str] = Field(None, description="User's feedback comment")
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correct_result: Optional[Any] = Field(None, description="What the correct result should be")
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-
timestamp: datetime = Field(default_factory=datetime.
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class SchemaChange(BaseModel):
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@@ -249,5 +249,5 @@ class SchemaChange(BaseModel):
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column_name: Optional[str] = Field(None, description="Affected column")
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old_value: Optional[Any] = Field(None, description="Previous value")
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new_value: Optional[Any] = Field(None, description="New value")
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-
detected_at: datetime = Field(default_factory=datetime.
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requires_remapping: bool = Field(default=False, description="Whether concept mappings need update")
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"""Data models for Schema Translator using Pydantic."""
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+
from datetime import datetime, timezone
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from enum import Enum
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from typing import Any, Dict, List, Optional
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feedback_type: str = Field(..., description="Type of feedback (incorrect, missing, good)")
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feedback_text: Optional[str] = Field(None, description="User's feedback comment")
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correct_result: Optional[Any] = Field(None, description="What the correct result should be")
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+
timestamp: datetime = Field(default_factory=lambda: datetime.now(timezone.utc), description="When feedback was given")
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| 243 |
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class SchemaChange(BaseModel):
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column_name: Optional[str] = Field(None, description="Affected column")
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old_value: Optional[Any] = Field(None, description="Previous value")
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new_value: Optional[Any] = Field(None, description="New value")
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+
detected_at: datetime = Field(default_factory=lambda: datetime.now(timezone.utc), description="When change was detected")
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requires_remapping: bool = Field(default=False, description="Whether concept mappings need update")
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schema_translator/orchestrator.py
CHANGED
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@@ -2,7 +2,7 @@
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import logging
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import time
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-
from datetime import datetime
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from typing import Dict, List, Optional, Any
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from schema_translator.agents import QueryUnderstandingAgent, SchemaAnalyzerAgent
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@@ -52,7 +52,7 @@ class QueryHistory:
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error: Error message if query failed
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"""
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self.queries.append({
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-
"timestamp": datetime.
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"query_text": query_text,
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"semantic_plan": semantic_plan,
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"result": result,
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@@ -601,5 +601,5 @@ class ChatOrchestrator:
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"query_statistics": query_stats,
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"feedback_insights": feedback_insights,
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"drift_summary": drift_summary,
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-
"timestamp": datetime.
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}
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import logging
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import time
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+
from datetime import datetime, timezone
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from typing import Dict, List, Optional, Any
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from schema_translator.agents import QueryUnderstandingAgent, SchemaAnalyzerAgent
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error: Error message if query failed
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"""
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self.queries.append({
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+
"timestamp": datetime.now(timezone.utc),
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"query_text": query_text,
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"semantic_plan": semantic_plan,
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"result": result,
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"query_statistics": query_stats,
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"feedback_insights": feedback_insights,
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"drift_summary": drift_summary,
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+
"timestamp": datetime.now(timezone.utc).isoformat()
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}
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schema_translator/schema_drift_detector.py
CHANGED
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@@ -6,7 +6,7 @@ affect query execution and mappings.
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"""
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from typing import List, Dict, Any, Optional, Set, Tuple
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-
from datetime import datetime
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from pathlib import Path
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import sqlite3
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import json
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@@ -87,7 +87,7 @@ class SchemaDrift:
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self.severity = severity
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self.description = description
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self.details = details
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-
self.detected_at = datetime.
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def to_dict(self) -> Dict[str, Any]:
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"""Convert to dictionary."""
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@@ -171,7 +171,7 @@ class SchemaDriftDetector:
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snapshot = SchemaSnapshot(
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customer_id=customer_id,
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-
timestamp=datetime.
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tables=tables,
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row_counts=row_counts
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)
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"""
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from typing import List, Dict, Any, Optional, Set, Tuple
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| 9 |
+
from datetime import datetime, timezone
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from pathlib import Path
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| 11 |
import sqlite3
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import json
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self.severity = severity
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| 88 |
self.description = description
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self.details = details
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| 90 |
+
self.detected_at = datetime.now(timezone.utc)
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| 91 |
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| 92 |
def to_dict(self) -> Dict[str, Any]:
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| 93 |
"""Convert to dictionary."""
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| 172 |
snapshot = SchemaSnapshot(
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customer_id=customer_id,
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+
timestamp=datetime.now(timezone.utc),
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tables=tables,
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row_counts=row_counts
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)
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tests/test_learning.py
CHANGED
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@@ -6,7 +6,7 @@ Tests for FeedbackLoop and SchemaDriftDetector components.
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import pytest
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from pathlib import Path
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| 9 |
-
from datetime import datetime, timedelta
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| 10 |
from unittest.mock import Mock, patch
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| 11 |
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from schema_translator.feedback_loop import FeedbackLoop
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@@ -178,7 +178,7 @@ class TestFeedbackLoop:
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loop.submit_feedback("query1", plan, "good")
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# Manually set old timestamp
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-
loop.feedback_cache[0].timestamp = datetime.
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removed = loop.clear_old_feedback(days=90)
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@@ -193,7 +193,7 @@ class TestSchemaSnapshot:
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"""Test creating a schema snapshot."""
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snapshot = SchemaSnapshot(
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customer_id="test_customer",
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-
timestamp=datetime.
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tables={"contracts": ["id", "value", "status"]},
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row_counts={"contracts": 10}
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)
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@@ -206,7 +206,7 @@ class TestSchemaSnapshot:
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"""Test snapshot to/from dict."""
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snapshot1 = SchemaSnapshot(
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customer_id="test",
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-
timestamp=datetime.
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tables={"t1": ["c1", "c2"]},
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row_counts={"t1": 5}
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)
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@@ -264,7 +264,7 @@ class TestSchemaDriftDetector:
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# Create old snapshot
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| 265 |
old_snapshot = SchemaSnapshot(
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customer_id="test",
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-
timestamp=datetime.
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tables={"table1": ["col1"]},
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row_counts={"table1": 10}
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)
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@@ -272,7 +272,7 @@ class TestSchemaDriftDetector:
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# Create new snapshot with added table
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new_snapshot = SchemaSnapshot(
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customer_id="test",
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| 275 |
-
timestamp=datetime.
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| 276 |
tables={
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| 277 |
"table1": ["col1"],
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"table2": ["col2", "col3"]
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@@ -290,14 +290,14 @@ class TestSchemaDriftDetector:
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"""Test detecting removed table."""
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| 291 |
old_snapshot = SchemaSnapshot(
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| 292 |
customer_id="test",
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| 293 |
-
timestamp=datetime.
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| 294 |
tables={"table1": ["col1"], "table2": ["col2"]},
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| 295 |
row_counts={"table1": 10, "table2": 5}
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| 296 |
)
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| 297 |
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| 298 |
new_snapshot = SchemaSnapshot(
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| 299 |
customer_id="test",
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| 300 |
-
timestamp=datetime.
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tables={"table1": ["col1"]},
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row_counts={"table1": 10}
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)
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@@ -312,14 +312,14 @@ class TestSchemaDriftDetector:
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"""Test detecting added columns."""
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| 313 |
old_snapshot = SchemaSnapshot(
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| 314 |
customer_id="test",
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| 315 |
-
timestamp=datetime.
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| 316 |
tables={"table1": ["col1"]},
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| 317 |
row_counts={"table1": 10}
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| 318 |
)
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| 319 |
|
| 320 |
new_snapshot = SchemaSnapshot(
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| 321 |
customer_id="test",
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| 322 |
-
timestamp=datetime.
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| 323 |
tables={"table1": ["col1", "col2", "col3"]},
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| 324 |
row_counts={"table1": 10}
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| 325 |
)
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@@ -334,14 +334,14 @@ class TestSchemaDriftDetector:
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| 334 |
"""Test detecting removed columns."""
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| 335 |
old_snapshot = SchemaSnapshot(
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| 336 |
customer_id="test",
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| 337 |
-
timestamp=datetime.
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| 338 |
tables={"table1": ["col1", "col2", "col3"]},
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| 339 |
row_counts={"table1": 10}
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| 340 |
)
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| 341 |
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| 342 |
new_snapshot = SchemaSnapshot(
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| 343 |
customer_id="test",
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| 344 |
-
timestamp=datetime.
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| 345 |
tables={"table1": ["col1"]},
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| 346 |
row_counts={"table1": 10}
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| 347 |
)
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@@ -356,14 +356,14 @@ class TestSchemaDriftDetector:
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| 356 |
"""Test detecting significant row count changes."""
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| 357 |
old_snapshot = SchemaSnapshot(
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| 358 |
customer_id="test",
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| 359 |
-
timestamp=datetime.
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| 360 |
tables={"table1": ["col1"]},
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| 361 |
row_counts={"table1": 100}
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| 362 |
)
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| 363 |
|
| 364 |
new_snapshot = SchemaSnapshot(
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| 365 |
customer_id="test",
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| 366 |
-
timestamp=datetime.
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| 367 |
tables={"table1": ["col1"]},
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| 368 |
row_counts={"table1": 10} # 90% decrease
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| 369 |
)
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@@ -378,7 +378,7 @@ class TestSchemaDriftDetector:
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| 378 |
"""Test when no drift exists."""
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| 379 |
snapshot = SchemaSnapshot(
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| 380 |
customer_id="test",
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| 381 |
-
timestamp=datetime.
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| 382 |
tables={"table1": ["col1"]},
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| 383 |
row_counts={"table1": 10}
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| 384 |
)
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@@ -391,7 +391,7 @@ class TestSchemaDriftDetector:
|
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| 391 |
"""Test snapshot persistence."""
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| 392 |
snapshot = SchemaSnapshot(
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| 393 |
customer_id="test",
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| 394 |
-
timestamp=datetime.
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| 395 |
tables={"table1": ["col1"]},
|
| 396 |
row_counts={"table1": 10}
|
| 397 |
)
|
|
|
|
| 6 |
|
| 7 |
import pytest
|
| 8 |
from pathlib import Path
|
| 9 |
+
from datetime import datetime, timedelta, timezone
|
| 10 |
from unittest.mock import Mock, patch
|
| 11 |
|
| 12 |
from schema_translator.feedback_loop import FeedbackLoop
|
|
|
|
| 178 |
loop.submit_feedback("query1", plan, "good")
|
| 179 |
|
| 180 |
# Manually set old timestamp
|
| 181 |
+
loop.feedback_cache[0].timestamp = datetime.now(timezone.utc) - timedelta(days=100)
|
| 182 |
|
| 183 |
removed = loop.clear_old_feedback(days=90)
|
| 184 |
|
|
|
|
| 193 |
"""Test creating a schema snapshot."""
|
| 194 |
snapshot = SchemaSnapshot(
|
| 195 |
customer_id="test_customer",
|
| 196 |
+
timestamp=datetime.now(timezone.utc),
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| 197 |
tables={"contracts": ["id", "value", "status"]},
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| 198 |
row_counts={"contracts": 10}
|
| 199 |
)
|
|
|
|
| 206 |
"""Test snapshot to/from dict."""
|
| 207 |
snapshot1 = SchemaSnapshot(
|
| 208 |
customer_id="test",
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| 209 |
+
timestamp=datetime.now(timezone.utc),
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| 210 |
tables={"t1": ["c1", "c2"]},
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| 211 |
row_counts={"t1": 5}
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| 212 |
)
|
|
|
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| 264 |
# Create old snapshot
|
| 265 |
old_snapshot = SchemaSnapshot(
|
| 266 |
customer_id="test",
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| 267 |
+
timestamp=datetime.now(timezone.utc),
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| 268 |
tables={"table1": ["col1"]},
|
| 269 |
row_counts={"table1": 10}
|
| 270 |
)
|
|
|
|
| 272 |
# Create new snapshot with added table
|
| 273 |
new_snapshot = SchemaSnapshot(
|
| 274 |
customer_id="test",
|
| 275 |
+
timestamp=datetime.now(timezone.utc),
|
| 276 |
tables={
|
| 277 |
"table1": ["col1"],
|
| 278 |
"table2": ["col2", "col3"]
|
|
|
|
| 290 |
"""Test detecting removed table."""
|
| 291 |
old_snapshot = SchemaSnapshot(
|
| 292 |
customer_id="test",
|
| 293 |
+
timestamp=datetime.now(timezone.utc),
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| 294 |
tables={"table1": ["col1"], "table2": ["col2"]},
|
| 295 |
row_counts={"table1": 10, "table2": 5}
|
| 296 |
)
|
| 297 |
|
| 298 |
new_snapshot = SchemaSnapshot(
|
| 299 |
customer_id="test",
|
| 300 |
+
timestamp=datetime.now(timezone.utc),
|
| 301 |
tables={"table1": ["col1"]},
|
| 302 |
row_counts={"table1": 10}
|
| 303 |
)
|
|
|
|
| 312 |
"""Test detecting added columns."""
|
| 313 |
old_snapshot = SchemaSnapshot(
|
| 314 |
customer_id="test",
|
| 315 |
+
timestamp=datetime.now(timezone.utc),
|
| 316 |
tables={"table1": ["col1"]},
|
| 317 |
row_counts={"table1": 10}
|
| 318 |
)
|
| 319 |
|
| 320 |
new_snapshot = SchemaSnapshot(
|
| 321 |
customer_id="test",
|
| 322 |
+
timestamp=datetime.now(timezone.utc),
|
| 323 |
tables={"table1": ["col1", "col2", "col3"]},
|
| 324 |
row_counts={"table1": 10}
|
| 325 |
)
|
|
|
|
| 334 |
"""Test detecting removed columns."""
|
| 335 |
old_snapshot = SchemaSnapshot(
|
| 336 |
customer_id="test",
|
| 337 |
+
timestamp=datetime.now(timezone.utc),
|
| 338 |
tables={"table1": ["col1", "col2", "col3"]},
|
| 339 |
row_counts={"table1": 10}
|
| 340 |
)
|
| 341 |
|
| 342 |
new_snapshot = SchemaSnapshot(
|
| 343 |
customer_id="test",
|
| 344 |
+
timestamp=datetime.now(timezone.utc),
|
| 345 |
tables={"table1": ["col1"]},
|
| 346 |
row_counts={"table1": 10}
|
| 347 |
)
|
|
|
|
| 356 |
"""Test detecting significant row count changes."""
|
| 357 |
old_snapshot = SchemaSnapshot(
|
| 358 |
customer_id="test",
|
| 359 |
+
timestamp=datetime.now(timezone.utc),
|
| 360 |
tables={"table1": ["col1"]},
|
| 361 |
row_counts={"table1": 100}
|
| 362 |
)
|
| 363 |
|
| 364 |
new_snapshot = SchemaSnapshot(
|
| 365 |
customer_id="test",
|
| 366 |
+
timestamp=datetime.now(timezone.utc),
|
| 367 |
tables={"table1": ["col1"]},
|
| 368 |
row_counts={"table1": 10} # 90% decrease
|
| 369 |
)
|
|
|
|
| 378 |
"""Test when no drift exists."""
|
| 379 |
snapshot = SchemaSnapshot(
|
| 380 |
customer_id="test",
|
| 381 |
+
timestamp=datetime.now(timezone.utc),
|
| 382 |
tables={"table1": ["col1"]},
|
| 383 |
row_counts={"table1": 10}
|
| 384 |
)
|
|
|
|
| 391 |
"""Test snapshot persistence."""
|
| 392 |
snapshot = SchemaSnapshot(
|
| 393 |
customer_id="test",
|
| 394 |
+
timestamp=datetime.now(timezone.utc),
|
| 395 |
tables={"table1": ["col1"]},
|
| 396 |
row_counts={"table1": 10}
|
| 397 |
)
|