Refactor code structure for improved readability and maintainability

api/index.py

@@ -64,6 +64,9 @@ class TickerData(Base):
     low: Mapped[float] = mapped_column(Float, nullable=False)
     close: Mapped[float] = mapped_column(Float, nullable=False)
     volume: Mapped[int] = mapped_column(Integer, nullable=False)
+    sma_fast: Mapped[Optional[float]] = mapped_column(Float, nullable=True)  # SMA 10
+    sma_med: Mapped[Optional[float]] = mapped_column(Float, nullable=True)   # SMA 20
+    sma_slow: Mapped[Optional[float]] = mapped_column(Float, nullable=True)  # SMA 50
     created_at: Mapped[datetime] = mapped_column(DateTime, nullable=False)
     
     __table_args__ = (
@@ -114,12 +117,16 @@ class TickerDataResponse(BaseModel):
     low: float
     close: float
     volume: int
+    sma_fast: Optional[float] = None  # SMA 10
+    sma_med: Optional[float] = None   # SMA 20
+    sma_slow: Optional[float] = None  # SMA 50
     created_at: datetime
 
 
 class DownloadDataRequest(BaseModel):
     tickers: Optional[List[str]] = Field(default=None, description="Specific tickers to download. If not provided, downloads all available tickers")
     force_refresh: bool = Field(default=False, description="Force refresh even if data exists")
+    force_indicators: bool = Field(default=False, description="Force calculation of technical indicators even if data is fresh")
 
 
 class DownloadDataResponse(BaseModel):
@@ -170,7 +177,8 @@ class Config:
             with open(config_path, 'r') as f:
                 return yaml.safe_load(f)
         except FileNotFoundError:
-            logging.warning(f"Config file '{config_path}' not found. Using defaults.")
+            logger = logging.getLogger(__name__)
+            logger.warning(f"config_file_not_found path={config_path} using_defaults=true")
             return self._get_default_config()
     
     def _get_default_config(self):
@@ -208,6 +216,8 @@ class Config:
             handlers=handlers,
             datefmt='%Y-%m-%d %H:%M:%S'
         )
+        self.logger = logging.getLogger(__name__)
+        self.logger.info(f"logging_configured level={log_config.get('level', 'INFO')} hf_spaces={os.getenv('SPACE_ID') is not None}")
     
     @property
     def database_url(self) -> str:
@@ -253,11 +263,11 @@ class TickerService:
 
             df = next((table for table in tables if all(col in table.columns for col in columns_needed)), None)
             if df is None:
-                self.logger.error(f"Could not find columns {columns_needed} on {url}")
+                self.logger.error(f"wikipedia_parsing_failed url={url} required_columns={columns_needed}")
                 return []
 
             entries = df[columns_needed].dropna(subset=[ticker_column])
-            self.logger.info(f"Fetched {len(entries)} rows from {url}")
+            self.logger.info(f"wikipedia_data_fetched url={url} rows={len(entries)}")
 
             results: List[tuple[str, str, Optional[str], Optional[str]]] = []
             for _, row in entries.iterrows():
@@ -268,7 +278,7 @@ class TickerService:
                 results.append((ticker, name, sector, subindustry))
             return results
         except Exception as e:
-            self.logger.error(f"Failed to fetch tickers and names from {url}: {e}")
+            self.logger.error(f"wikipedia_fetch_failed url={url} error={str(e)}")
             return []
     
 
@@ -307,7 +317,7 @@ class TickerService:
                     last = pytz.UTC.localize(last)
                 delta = now - last
                 if delta.total_seconds() < 86400:
-                    self.logger.info(f"Tickers not updated: last update {last.isoformat()} < 1 day ago.")
+                    self.logger.info(f"tickers_update_skipped last_update={last.isoformat()} reason=fresh_data")
                     from sqlalchemy import func
                     total_tickers = await session.scalar(select(func.count()).select_from(Ticker))
                     sp500_count = await session.scalar(select(func.count()).select_from(Ticker).where(Ticker.is_sp500 == 1))
@@ -360,17 +370,11 @@ class TickerService:
                 "nasdaq100_count": len(nasdaq_list),
                 "updated_at": current_time
             }
-            self.logger.info(
-                "Tickers table updated: total=%d, sp500=%d, nasdaq100=%d at %s",
-                result["total_tickers"],
-                result["sp500_count"],
-                result["nasdaq100_count"],
-                result["updated_at"].isoformat()
-            )
+            self.logger.info(f"tickers_updated total={result['total_tickers']} sp500={result['sp500_count']} nasdaq100={result['nasdaq100_count']} timestamp={result['updated_at'].isoformat()}")
             return result
         except Exception as e:
             await session.rollback()
-            self.logger.error(f"Failed to update tickers: {e}")
+            self.logger.error(f"tickers_update_failed error={str(e)}")
             raise
 
 
@@ -379,6 +383,31 @@ class YFinanceService:
         self.config = config
         self.logger = logging.getLogger(__name__)
     
+    def calculate_technical_indicators(self, df: pd.DataFrame) -> pd.DataFrame:
+        """
+        Calculate technical indicators for a ticker's data.
+        Adds SMA columns: sma_fast (10), sma_med (20), sma_slow (50)
+        """
+        if df.empty or 'Close' not in df.columns:
+            return df
+        
+        start_time = time.perf_counter()
+        records_count = len(df)
+        
+        # Sort by date to ensure proper calculation
+        df = df.sort_index()
+        
+        # Calculate Simple Moving Averages
+        df['sma_fast'] = df['Close'].rolling(window=10, min_periods=10).mean()
+        df['sma_med'] = df['Close'].rolling(window=20, min_periods=20).mean()
+        df['sma_slow'] = df['Close'].rolling(window=50, min_periods=50).mean()
+        
+        end_time = time.perf_counter()
+        duration = end_time - start_time
+        self.logger.info(f"technical_indicators_calculated records={records_count} duration_ms={duration*1000:.2f}")
+        
+        return df
+    
     async def check_tickers_freshness(self, session: AsyncSession) -> bool:
         """
         Check if tickers were updated within the last week (7 days).
@@ -392,7 +421,7 @@ class YFinanceService:
             last_update = result.scalar()
             
             if not last_update:
-                self.logger.info("No tickers found in database")
+                self.logger.info("ticker_freshness_check result=no_tickers_found")
                 return False
             
             # Ensure timezone awareness
@@ -402,11 +431,11 @@ class YFinanceService:
             delta = now - last_update
             is_fresh = delta.total_seconds() < (7 * 24 * 3600)  # 7 days
             
-            self.logger.info(f"Tickers last updated: {last_update.isoformat()}, Fresh: {is_fresh}")
+            self.logger.info(f"ticker_freshness_check last_update={last_update.isoformat()} is_fresh={is_fresh}")
             return is_fresh
             
         except Exception as e:
-            self.logger.error(f"Error checking ticker freshness: {e}")
+            self.logger.error(f"ticker_freshness_check_failed error={str(e)}")
             return False
     
     async def check_ticker_data_freshness(self, session: AsyncSession) -> bool:
@@ -422,7 +451,7 @@ class YFinanceService:
             last_update = result.scalar()
             
             if not last_update:
-                self.logger.info("No ticker data found in database")
+                self.logger.info("ticker_data_freshness_check result=no_data_found")
                 return False
             
             # Ensure timezone awareness
@@ -432,11 +461,11 @@ class YFinanceService:
             delta = now - last_update
             is_fresh = delta.total_seconds() < (24 * 3600)  # 24 hours
             
-            self.logger.info(f"Ticker data last updated: {last_update.isoformat()}, Fresh: {is_fresh}")
+            self.logger.info(f"ticker_data_freshness_check last_update={last_update.isoformat()} is_fresh={is_fresh}")
             return is_fresh
             
         except Exception as e:
-            self.logger.error(f"Error checking ticker data freshness: {e}")
+            self.logger.error(f"ticker_data_freshness_check_failed error={str(e)}")
             return False
     
     async def clear_and_bulk_insert_ticker_data(self, session: AsyncSession, ticker_list: List[str]) -> Dict[str, Any]:
@@ -448,20 +477,20 @@ class YFinanceService:
             # Start timing for total end-to-end process
             total_start_time = time.perf_counter()
             
-            self.logger.info(f"Starting bulk data refresh for {len(ticker_list)} tickers (clear and insert)")
+            self.logger.info(f"bulk_refresh_started tickers_count={len(ticker_list)} operation=clear_and_insert")
             
             # Start timing for data download
             download_start_time = time.perf_counter()
             
             # Download data for all tickers at once using period
-            data = yf.download(ticker_list, period='1mo', group_by='ticker', progress=True, auto_adjust=True)
+            data = yf.download(ticker_list, period='3mo', group_by='ticker', progress=True, auto_adjust=True)
             
             download_end_time = time.perf_counter()
             download_duration = download_end_time - download_start_time
-            self.logger.info(f"DEBUG: Data download completed in {download_duration:.2f} seconds for {len(ticker_list)} tickers")
+            self.logger.info(f"data_download_completed tickers_count={len(ticker_list)} duration_ms={download_duration*1000:.2f}")
             
             if data.empty:
-                self.logger.warning("No data found for any tickers")
+                self.logger.warning("data_download_empty reason=no_data_for_any_tickers")
                 return {
                     "created": 0, 
                     "updated": 0,
@@ -472,11 +501,11 @@ class YFinanceService:
             db_start_time = time.perf_counter()
             
             # Clear all existing ticker data
-            self.logger.info("Clearing all existing ticker data...")
+            self.logger.info("database_clear_started operation=delete_all_ticker_data")
             clear_start = time.perf_counter()
             await session.execute(delete(TickerData))
             clear_end = time.perf_counter()
-            self.logger.info(f"DEBUG: Data cleared in {clear_end - clear_start:.2f} seconds")
+            self.logger.info(f"database_clear_completed duration_ms={(clear_end - clear_start)*1000:.2f}")
             
             # Prepare data for bulk insert
             current_time = datetime.now(pytz.UTC)
@@ -491,7 +520,11 @@ class YFinanceService:
             if len(ticker_list) == 1:
                 # Single ticker case - data is not grouped
                 ticker = ticker_list[0]
-                for date_idx, row in data.iterrows():
+                
+                # Calculate technical indicators
+                data_with_indicators = self.calculate_technical_indicators(data)
+                
+                for date_idx, row in data_with_indicators.iterrows():
                     if pd.isna(row['Close']):
                         continue
                         
@@ -504,6 +537,9 @@ class YFinanceService:
                         'low': float(row['Low']),
                         'close': float(row['Close']),
                         'volume': int(row['Volume']),
+                        'sma_fast': float(row['sma_fast']) if pd.notna(row['sma_fast']) else None,
+                        'sma_med': float(row['sma_med']) if pd.notna(row['sma_med']) else None,
+                        'sma_slow': float(row['sma_slow']) if pd.notna(row['sma_slow']) else None,
                         'created_at': current_time
                     }
                     all_records.append(record)
@@ -511,14 +547,17 @@ class YFinanceService:
                 # Multiple tickers case - data is grouped by ticker
                 for ticker in ticker_list:
                     if ticker not in data.columns.get_level_values(0):
-                        self.logger.warning(f"No data found for ticker {ticker}")
+                        self.logger.warning(f"ticker_data_missing ticker={ticker} reason=not_in_downloaded_data")
                         continue
                     
                     ticker_data = data[ticker]
                     if ticker_data.empty:
                         continue
+                    
+                    # Calculate technical indicators for this ticker
+                    ticker_data_with_indicators = self.calculate_technical_indicators(ticker_data)
                         
-                    for date_idx, row in ticker_data.iterrows():
+                    for date_idx, row in ticker_data_with_indicators.iterrows():
                         if pd.isna(row['Close']):
                             continue
                             
@@ -531,6 +570,9 @@ class YFinanceService:
                             'low': float(row['Low']),
                             'close': float(row['Close']),
                             'volume': int(row['Volume']),
+                            'sma_fast': float(row['sma_fast']) if pd.notna(row['sma_fast']) else None,
+                            'sma_med': float(row['sma_med']) if pd.notna(row['sma_med']) else None,
+                            'sma_slow': float(row['sma_slow']) if pd.notna(row['sma_slow']) else None,
                             'created_at': current_time
                         }
                         all_records.append(record)
@@ -540,7 +582,7 @@ class YFinanceService:
             total_records = len(all_records)
             inserted_count = 0
             
-            self.logger.info(f"Inserting {total_records} records in chunks of {chunk_size}")
+            self.logger.info(f"database_insert_started total_records={total_records} chunk_size={chunk_size}")
             
             for i in range(0, total_records, chunk_size):
                 chunk = all_records[i:i + chunk_size]
@@ -552,24 +594,24 @@ class YFinanceService:
                 
                 chunk_end = time.perf_counter()
                 inserted_count += len(chunk)
-                self.logger.info(f"DEBUG: Inserted chunk {i//chunk_size + 1}/{(total_records + chunk_size - 1)//chunk_size} ({len(chunk)} records) in {chunk_end - chunk_start:.2f} seconds")
+                self.logger.info(f"database_chunk_inserted chunk={i//chunk_size + 1}/{(total_records + chunk_size - 1)//chunk_size} records={len(chunk)} duration_ms={(chunk_end - chunk_start)*1000:.2f}")
             
             # Commit all changes
             commit_start = time.perf_counter()
             await session.commit()
             commit_end = time.perf_counter()
-            self.logger.info(f"DEBUG: Database commit completed in {commit_end - commit_start:.2f} seconds")
+            self.logger.info(f"database_commit_completed duration_ms={(commit_end - commit_start)*1000:.2f}")
             
             db_end_time = time.perf_counter()
             db_duration = db_end_time - db_start_time
-            self.logger.info(f"DEBUG: Database operations completed in {db_duration:.2f} seconds for {inserted_count} records")
+            self.logger.info(f"database_operations_completed records_inserted={inserted_count} duration_ms={db_duration*1000:.2f}")
             
             # Calculate total end-to-end duration
             total_end_time = time.perf_counter()
             total_duration = total_end_time - total_start_time
-            self.logger.info(f"DEBUG: Total bulk refresh completed in {total_duration:.2f} seconds (download: {download_duration:.2f}s, database: {db_duration:.2f}s)")
+            self.logger.info(f"bulk_refresh_completed total_duration_ms={total_duration*1000:.2f} download_ms={download_duration*1000:.2f} database_ms={db_duration*1000:.2f}")
             
-            self.logger.info(f"Bulk refresh: inserted {inserted_count} records")
+            self.logger.info(f"bulk_refresh_summary records_inserted={inserted_count} operation=completed")
             return {
                 "created": inserted_count, 
                 "updated": 0,
@@ -581,18 +623,19 @@ class YFinanceService:
             
         except Exception as e:
             await session.rollback()
-            self.logger.error(f"Error in bulk refresh: {e}")
+            self.logger.error(f"bulk_refresh_failed error={str(e)}")
             raise
     
-    async def download_all_tickers_data(self, session: AsyncSession, ticker_list: Optional[List[str]] = None) -> Dict[str, Any]:
+    async def download_all_tickers_data(self, session: AsyncSession, ticker_list: Optional[List[str]] = None, force_refresh: bool = False, force_indicators: bool = False) -> Dict[str, Any]:
         """
-        Download data for all or specified tickers for the last month.
+        Download data for all or specified tickers for the last 3 months.
         Uses smart strategy: checks data freshness, if > 24h, clears DB and bulk inserts new data.
+        Calculates technical indicators (SMA 10, 20, 50) for all data.
         """
         try:
             # Check ticker freshness and update if needed
             if not await self.check_tickers_freshness(session):
-                self.logger.info("Tickers are stale, updating...")
+                self.logger.info("tickers_update_required reason=stale_data")
                 ticker_service = TickerService(self.config)
                 await ticker_service.update_tickers_in_db(session, force_refresh=True)
             
@@ -605,7 +648,7 @@ class YFinanceService:
                 valid_tickers = [row[0] for row in result.fetchall()]
                 invalid_tickers = set(ticker_list) - set(valid_tickers)
                 if invalid_tickers:
-                    self.logger.warning(f"Invalid tickers ignored: {invalid_tickers}")
+                    self.logger.warning(f"invalid_tickers_ignored count={len(invalid_tickers)} tickers={list(invalid_tickers)}")
                 tickers_to_process = valid_tickers
             else:
                 # Get all tickers from database
@@ -621,19 +664,31 @@ class YFinanceService:
                     "message": "No valid tickers found to process"
                 }
             
-            # Check if ticker data is fresh (less than 24h old)
-            if await self.check_ticker_data_freshness(session):
-                self.logger.info("Ticker data is fresh (less than 24h old), skipping update")
-                return {
-                    "tickers_processed": len(tickers_to_process),
-                    "records_created": 0,
-                    "records_updated": 0,
-                    "date_range": {"start_date": "", "end_date": ""},
-                    "message": f"Data is fresh, no update needed for {len(tickers_to_process)} tickers"
-                }
+            # Check if ticker data is fresh (less than 24h old) unless force_refresh
+            if not force_refresh and await self.check_ticker_data_freshness(session):
+                if not force_indicators:
+                    self.logger.info("data_download_skipped reason=fresh_data age_limit=24h")
+                    return {
+                        "tickers_processed": len(tickers_to_process),
+                        "records_created": 0,
+                        "records_updated": 0,
+                        "date_range": {"start_date": "", "end_date": ""},
+                        "message": f"Data is fresh, no update needed for {len(tickers_to_process)} tickers"
+                    }
+                else:
+                    # Data is fresh but force_indicators is True - only recalculate indicators
+                    self.logger.info("indicators_recalculation_requested reason=force_indicators_flag data_age=fresh")
+                    # TODO: Implement indicators-only recalculation
+                    return {
+                        "tickers_processed": len(tickers_to_process),
+                        "records_created": 0,
+                        "records_updated": 0,
+                        "date_range": {"start_date": "", "end_date": ""},
+                        "message": f"Indicators recalculation for {len(tickers_to_process)} tickers (not implemented yet)"
+                    }
             
             # Data is stale - use bulk refresh strategy
-            self.logger.info("Data is stale (>24h old), using bulk refresh strategy")
+            self.logger.info("bulk_refresh_strategy_selected reason=stale_data age_limit=24h")
             result = await self.clear_and_bulk_insert_ticker_data(session, tickers_to_process)
             total_created = result["created"]
             total_updated = result["updated"]
@@ -648,7 +703,7 @@ class YFinanceService:
             }
             
         except Exception as e:
-            self.logger.error(f"Error in download_all_tickers_data: {e}")
+            self.logger.error(f"download_all_tickers_failed error={str(e)}")
             raise
 
 
@@ -795,11 +850,12 @@ async def lifespan(app: FastAPI):
     # Startup
     await database.create_tables()
     await task_manager.create_table_if_not_exists()
-    logging.info("Database tables created/verified")
+    logger = logging.getLogger(__name__)
+    logger.info("database_lifecycle event=tables_created_verified")
     yield
     # Shutdown
     await database.engine.dispose()
-    logging.info("Database connections closed")
+    logger.info("database_lifecycle event=connections_closed")
 
 # Create FastAPI app
 app = FastAPI(
@@ -953,7 +1009,8 @@ async def get_tickers(
             for t in tickers
         ]
     except Exception as e:
-        logging.error(f"Error fetching tickers: {e}")
+        logger = logging.getLogger(__name__)
+        logger.error(f"endpoint_error endpoint=get_tickers error={str(e)}")
         raise HTTPException(status_code=500, detail="Failed to fetch tickers")
 
 
@@ -1011,7 +1068,8 @@ async def update_tickers(
             **result
         )
     except Exception as e:
-        logging.error(f"Error updating tickers: {e}")
+        logger = logging.getLogger(__name__)
+        logger.error(f"endpoint_error endpoint=update_tickers error={str(e)}")
         raise HTTPException(status_code=500, detail=f"Failed to update tickers: {str(e)}")
 
 
@@ -1157,28 +1215,33 @@ async def delete_old_tasks(api_key: str = Depends(verify_api_key)):
 
 @app.post("/data/download-all", response_model=DownloadDataResponse)
 async def download_all_tickers_data(
+    request: DownloadDataRequest = DownloadDataRequest(),
     session: AsyncSession = Depends(get_db_session),
     api_key: str = Depends(verify_api_key)
 ):
     """
-    Download daily ticker data for the last month for ALL tickers in database.
+    Download daily ticker data for the last 3 months for ALL tickers in database.
     
     **Logic**:
     - Automatically downloads data for all tickers stored in the tickers table
     - Checks if tickers were updated within the last week, updates if needed
-    - Only downloads if ticker data is older than 24 hours
-    - Downloads daily data for the last 30 days for all available tickers
+    - Only downloads if ticker data is older than 24 hours (unless force_refresh=true)
+    - Downloads daily data for the last 3 months for all available tickers
+    - Calculates technical indicators: SMA 10 (fast), SMA 20 (med), SMA 50 (slow)
     - Uses bulk delete and insert strategy for optimal performance
     - Returns summary with counts and date range
     
     **Args**:
+    - **request**: DownloadDataRequest (force_refresh, force_indicators flags)
     - **session**: AsyncSession (DB session, injected)
     - **api_key**: str (API key for authentication, injected)
     
     **Example request:**
     ```bash
     curl -X POST "http://localhost:${PORT}/data/download-all" \
-      -H "Authorization: Bearer your_api_key"
+      -H "Authorization: Bearer your_api_key" \
+      -H "Content-Type: application/json" \
+      -d '{"force_refresh": false, "force_indicators": true}'
     ```
     
     **Example response:**
@@ -1201,7 +1264,9 @@ async def download_all_tickers_data(
         # Use existing service without specifying ticker list (downloads all)
         result = await yfinance_service.download_all_tickers_data(
             session, 
-            ticker_list=None  # None means download all tickers
+            ticker_list=request.tickers,  # None means download all tickers
+            force_refresh=request.force_refresh,
+            force_indicators=request.force_indicators
         )
         
         return DownloadDataResponse(
@@ -1215,7 +1280,8 @@ async def download_all_tickers_data(
         )
         
     except Exception as e:
-        logging.error(f"Error downloading all ticker data: {e}")
+        logger = logging.getLogger(__name__)
+        logger.error(f"endpoint_error endpoint=download_all_tickers error={str(e)}")
         raise HTTPException(status_code=500, detail=f"Failed to download all ticker data: {str(e)}")
 
 
@@ -1285,6 +1351,9 @@ async def get_ticker_data(
                 low=data.low,
                 close=data.close,
                 volume=data.volume,
+                sma_fast=data.sma_fast,
+                sma_med=data.sma_med,
+                sma_slow=data.sma_slow,
                 created_at=data.created_at
             )
             for data in ticker_data
@@ -1293,7 +1362,8 @@ async def get_ticker_data(
     except HTTPException:
         raise
     except Exception as e:
-        logging.error(f"Error fetching ticker data for {ticker}: {e}")
+        logger = logging.getLogger(__name__)
+        logger.error(f"endpoint_error endpoint=get_ticker_data ticker={ticker} error={str(e)}")
         raise HTTPException(status_code=500, detail="Failed to fetch ticker data")
 
 

logs/api.log

@@ -0,0 +1,774 @@
+2025-07-30 20:35:48 [INFO] __main__: logging_configured level=INFO hf_spaces=False
+2025-07-30 20:35:48 [INFO] __mp_main__: logging_configured level=INFO hf_spaces=False
+2025-07-30 20:35:48 [INFO] watchfiles.main: 1 change detected
+2025-07-30 20:35:49 [INFO] index: logging_configured level=INFO hf_spaces=False
+2025-07-30 20:35:49 [INFO] watchfiles.main: 3 changes detected
+2025-07-30 20:35:50 [INFO] index: database_lifecycle event=tables_created_verified
+2025-07-30 20:35:51 [INFO] watchfiles.main: 2 changes detected
+2025-07-30 20:35:52 [INFO] watchfiles.main: 4 changes detected
+2025-07-30 20:35:57 [INFO] watchfiles.main: 2 changes detected
+2025-07-30 20:36:02 [INFO] watchfiles.main: 2 changes detected
+2025-07-30 20:36:04 [INFO] watchfiles.main: 1 change detected
+2025-07-30 20:36:05 [INFO] watchfiles.main: 1 change detected
+2025-07-30 20:36:07 [INFO] watchfiles.main: 2 changes detected
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+2025-07-30 20:43:34 [ERROR] yfinance: 
+2 Failed downloads:
+2025-07-30 20:43:34 [ERROR] yfinance: ['BRK.B']: YFPricesMissingError('possibly delisted; no price data found  (period=3mo) (Yahoo error = "No data found, symbol may be delisted")')
+2025-07-30 20:43:34 [ERROR] yfinance: ['BF.B']: YFPricesMissingError('possibly delisted; no price data found  (period=3mo)')
+2025-07-30 20:43:34 [INFO] index: data_download_completed tickers_count=517 duration_ms=10186.18
+2025-07-30 20:43:34 [INFO] index: database_clear_started operation=delete_all_ticker_data
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+2025-07-30 20:43:40 [INFO] index: database_operations_completed records_inserted=32445 duration_ms=5686.00
+2025-07-30 20:43:40 [INFO] index: bulk_refresh_completed total_duration_ms=15872.39 download_ms=10186.18 database_ms=5686.00
+2025-07-30 20:43:40 [INFO] index: bulk_refresh_summary records_inserted=32445 operation=completed
+2025-07-30 20:43:41 [INFO] index: ticker_freshness_check last_update=2025-07-30T15:35:47+00:00 is_fresh=True
+2025-07-30 20:43:41 [INFO] index: ticker_data_freshness_check last_update=2025-07-30T18:43:34+00:00 is_fresh=True
+2025-07-30 20:43:41 [INFO] index: indicators_recalculation_requested reason=force_indicators_flag data_age=fresh
+2025-07-30 20:43:42 [INFO] watchfiles.main: 1 change detected
+2025-07-30 20:43:42 [INFO] watchfiles.main: 1 change detected
+2025-07-30 20:43:45 [INFO] watchfiles.main: 2 changes detected
+2025-07-30 20:43:47 [INFO] watchfiles.main: 1 change detected
+2025-07-30 20:43:48 [INFO] watchfiles.main: 1 change detected
+2025-07-30 20:43:50 [INFO] watchfiles.main: 2 changes detected
+2025-07-30 20:43:56 [INFO] watchfiles.main: 2 changes detected
+2025-07-30 20:43:58 [INFO] watchfiles.main: 1 change detected
+2025-07-30 20:43:58 [INFO] watchfiles.main: 1 change detected
+2025-07-30 20:44:00 [INFO] watchfiles.main: 2 changes detected
+2025-07-30 20:44:03 [INFO] watchfiles.main: 1 change detected
+2025-07-30 20:44:06 [INFO] watchfiles.main: 2 changes detected
+2025-07-30 20:44:11 [INFO] watchfiles.main: 2 changes detected
+2025-07-30 20:44:13 [INFO] watchfiles.main: 1 change detected
+2025-07-30 20:44:13 [INFO] watchfiles.main: 1 change detected
+2025-07-30 20:44:17 [INFO] watchfiles.main: 2 changes detected
+2025-07-30 20:44:18 [INFO] watchfiles.main: 1 change detected
+2025-07-30 20:44:18 [INFO] watchfiles.main: 1 change detected
+2025-07-30 20:44:22 [INFO] watchfiles.main: 2 changes detected
+2025-07-30 20:44:28 [INFO] watchfiles.main: 2 changes detected
+2025-07-30 20:44:29 [INFO] watchfiles.main: 1 change detected
+2025-07-30 20:44:29 [INFO] watchfiles.main: 1 change detected
+2025-07-30 20:44:33 [INFO] watchfiles.main: 2 changes detected
+2025-07-30 20:44:34 [INFO] watchfiles.main: 1 change detected
+2025-07-30 20:44:34 [INFO] watchfiles.main: 1 change detected
+2025-07-30 20:44:37 [INFO] watchfiles.main: 2 changes detected
+2025-07-30 20:44:43 [INFO] watchfiles.main: 2 changes detected
+2025-07-30 20:44:45 [INFO] watchfiles.main: 1 change detected
+2025-07-30 20:44:45 [INFO] watchfiles.main: 1 change detected
+2025-07-30 20:44:47 [INFO] watchfiles.main: 2 changes detected
+2025-07-30 20:44:52 [INFO] watchfiles.main: 2 changes detected
+2025-07-30 20:44:57 [INFO] watchfiles.main: 2 changes detected
+2025-07-30 20:44:59 [INFO] watchfiles.main: 1 change detected
+2025-07-30 20:45:00 [INFO] watchfiles.main: 1 change detected
+2025-07-30 20:45:02 [INFO] watchfiles.main: 2 changes detected
+2025-07-30 20:45:05 [INFO] watchfiles.main: 1 change detected
+2025-07-30 20:45:05 [INFO] watchfiles.main: 1 change detected
+2025-07-30 20:45:08 [INFO] watchfiles.main: 2 changes detected
+2025-07-30 20:45:13 [INFO] watchfiles.main: 2 changes detected
+2025-07-30 20:45:15 [INFO] watchfiles.main: 1 change detected
+2025-07-30 20:45:15 [INFO] watchfiles.main: 1 change detected
+2025-07-30 20:45:18 [INFO] watchfiles.main: 2 changes detected
+2025-07-30 20:45:23 [INFO] watchfiles.main: 2 changes detected
+2025-07-30 20:45:27 [INFO] watchfiles.main: 2 changes detected
+2025-07-30 20:45:29 [INFO] watchfiles.main: 1 change detected
+2025-07-30 20:45:30 [INFO] watchfiles.main: 1 change detected
+2025-07-30 20:45:32 [INFO] watchfiles.main: 2 changes detected
+2025-07-30 20:45:34 [INFO] watchfiles.main: 1 change detected
+2025-07-30 20:45:35 [INFO] watchfiles.main: 1 change detected
+2025-07-30 20:45:37 [INFO] watchfiles.main: 2 changes detected
+2025-07-30 20:45:42 [INFO] watchfiles.main: 2 changes detected
+2025-07-30 20:45:44 [INFO] watchfiles.main: 1 change detected
+2025-07-30 20:45:44 [INFO] watchfiles.main: 1 change detected
+2025-07-30 20:45:46 [INFO] watchfiles.main: 2 changes detected
+2025-07-30 20:45:51 [INFO] watchfiles.main: 2 changes detected
+2025-07-30 20:45:57 [INFO] watchfiles.main: 2 changes detected
+2025-07-30 20:45:59 [INFO] watchfiles.main: 1 change detected
+2025-07-30 20:46:00 [INFO] watchfiles.main: 1 change detected
+2025-07-30 20:46:02 [INFO] watchfiles.main: 2 changes detected
+2025-07-30 20:46:05 [INFO] watchfiles.main: 1 change detected
+2025-07-30 20:46:05 [INFO] watchfiles.main: 1 change detected
+2025-07-30 20:46:06 [INFO] index: database_lifecycle event=connections_closed

tests/run_tests.sh

@@ -46,7 +46,7 @@ fi
 
 # Install test dependencies if needed
 echo "📦 Installing test dependencies..."
-pip install requests python-dotenv > /dev/null 2>&1
+pip install requests python-dotenv pandas > /dev/null 2>&1
 
 # Run the tests
 echo "🧪 Running API tests..."

tests/test_api.py

@@ -5,8 +5,10 @@ Tests authentication, endpoints, and security features.
 
 Updated for new API architecture:
 - Removed /data/download endpoint (now uses only /data/download-all)
-- Removed force_refresh parameter (uses automatic 24h freshness check)
-- Updated bulk download strategy testing
+- Added force_refresh and force_indicators parameters
+- Updated bulk download strategy testing with 3-month period
+- Added technical indicators validation (SMA 10, 20, 50)
+- Updated response validation for new SMA fields
 """
 
 import requests
@@ -102,7 +104,7 @@ def test_protected_endpoints_no_auth():
     protected_endpoints = [
         ("POST", "/tickers/update", {"force_refresh": False}),
         ("POST", "/tickers/update-async", {"force_refresh": False}),
-        ("POST", "/data/download-all", None),
+        ("POST", "/data/download-all", {"force_refresh": False, "force_indicators": False}),
         ("GET", "/tasks", None),
         ("DELETE", "/tasks/old", None)
     ]
@@ -134,7 +136,7 @@ def test_protected_endpoints_invalid_auth():
     
     protected_endpoints = [
         ("POST", "/tickers/update", {"force_refresh": False}),
-        ("POST", "/data/download-all", None),
+        ("POST", "/data/download-all", {"force_refresh": False, "force_indicators": False}),
         ("GET", "/tasks", None),
     ]
     
@@ -229,11 +231,13 @@ def test_data_endpoints():
     # Test POST /data/download-all (bulk download with automatic freshness check)
     # Note: This endpoint now automatically checks if data is <24h old and skips update if fresh
     # First run will download all data, subsequent runs may return "data is fresh" message
+    # Now supports force_refresh and force_indicators parameters
     try:
         response = requests.post(
             f"{BASE_URL}/data/download-all", 
-            headers=HEADERS_VALID_AUTH, 
-            timeout=90  # Bulk download might take longer, especially first time
+            headers=HEADERS_VALID_AUTH,
+            json={"force_refresh": False, "force_indicators": False},
+            timeout=120  # Bulk download might take longer with 3mo data and technical indicators
         )
         passed = response.status_code == 200
         all_passed &= print_result("/data/download-all", "POST", 200, response.status_code, passed)
@@ -261,6 +265,16 @@ def test_data_endpoints():
             if data:
                 latest = data[0]
                 print(f"   💰 Latest close: ${latest.get('close', 0):.2f}")
+                # Check for technical indicators
+                sma_fast = latest.get('sma_fast')
+                sma_med = latest.get('sma_med')
+                sma_slow = latest.get('sma_slow')
+                if sma_fast is not None:
+                    print(f"   📊 SMA Fast (10): ${sma_fast:.2f}")
+                if sma_med is not None:
+                    print(f"   📊 SMA Med (20): ${sma_med:.2f}")
+                if sma_slow is not None:
+                    print(f"   📊 SMA Slow (50): ${sma_slow:.2f}")
     except Exception as e:
         print(f"❌ GET /data/tickers/AAPL failed: {e}")
         all_passed = False
@@ -318,6 +332,7 @@ def main():
     all_tests_passed &= test_protected_endpoints_invalid_auth()
     all_tests_passed &= test_protected_endpoints_valid_auth()
     all_tests_passed &= test_data_endpoints()
+    all_tests_passed &= test_technical_indicators()
     all_tests_passed &= test_sql_injection_safety()
     
     # Final results
@@ -329,6 +344,8 @@ def main():
         print("✅ SQL injection protection is active")
         print("✅ Public endpoints are accessible")
         print("✅ Bulk data download with freshness check is working")
+        print("✅ Technical indicators (SMA 10, 20, 50) are working")
+        print("✅ 3-month data period and force_indicators flag functional")
         print("✅ New optimized API architecture is functional")
     else:
         print("❌ SOME TESTS FAILED!")
@@ -337,5 +354,62 @@ def main():
     
     return 0 if all_tests_passed else 1
 
+def test_technical_indicators():
+    """Test technical indicators functionality."""
+    print_test_header("Technical Indicators Tests")
+    
+    all_passed = True
+    
+    # Test POST /data/download-all with force_indicators=True
+    try:
+        response = requests.post(
+            f"{BASE_URL}/data/download-all", 
+            headers=HEADERS_VALID_AUTH,
+            json={"force_refresh": False, "force_indicators": True},
+            timeout=120
+        )
+        passed = response.status_code == 200
+        all_passed &= print_result("/data/download-all (force_indicators)", "POST", 200, response.status_code, passed)
+        
+        if passed:
+            data = response.json()
+            print(f"   📊 Processed {data.get('tickers_processed', 0)} tickers")
+            print(f"   💬 Message: {data.get('message', 'N/A')}")
+    except Exception as e:
+        print(f"❌ POST /data/download-all (force_indicators) failed: {e}")
+        all_passed = False
+    
+    # Test that ticker data now includes technical indicators
+    try:
+        response = requests.get(f"{BASE_URL}/data/tickers/AAPL?days=60", headers=HEADERS_NO_AUTH, timeout=10)
+        passed = response.status_code == 200
+        all_passed &= print_result("/data/tickers/AAPL (indicators validation)", "GET", 200, response.status_code, passed)
+        
+        if passed:
+            data = response.json()
+            print(f"   📊 Retrieved {len(data)} days of AAPL data for indicators test")
+            
+            # Check that we have enough data and some records have indicators
+            indicators_found = 0
+            for record in data:
+                if (record.get('sma_fast') is not None or 
+                    record.get('sma_med') is not None or 
+                    record.get('sma_slow') is not None):
+                    indicators_found += 1
+            
+            print(f"   📈 Records with indicators: {indicators_found}/{len(data)}")
+            
+            # Validate that recent records have indicators (should have SMA after 50+ days)
+            if len(data) >= 50:
+                recent_records = data[:10]  # Check most recent 10 records
+                sma_slow_count = sum(1 for r in recent_records if r.get('sma_slow') is not None)
+                print(f"   📊 Recent records with SMA Slow (50): {sma_slow_count}/10")
+            
+    except Exception as e:
+        print(f"❌ Technical indicators validation failed: {e}")
+        all_passed = False
+    
+    return all_passed
+
 if __name__ == "__main__":
     exit(main())