add analyst flow cron job

app/cron_analyst_flow.py

@@ -0,0 +1,59 @@
+import orjson
+from datetime import datetime, timedelta
+import os
+from tqdm import tqdm
+
+today = datetime.today().date()
+threshold_date = today - timedelta(days=14)
+
+directory_path = "json/analyst"
+
+def save_json(data):
+    os.makedirs(directory_path, exist_ok=True)
+    with open(f"{directory_path}/flow-data.json", 'wb') as file:
+        file.write(orjson.dumps(data))
+
+def get_analyst_from_directory():
+    directory = "json/analyst/analyst-db/"
+    res = []
+    try:
+        data = [file for file in os.listdir(directory) if file.endswith(".json")]
+
+        for file_name in data:
+            try:
+                with open(f"{directory}{file_name}", "r") as file:
+                    analyst_data = orjson.loads(file.read())
+                    if analyst_data['analystScore'] >= 3:
+                        ratings = [item for item in analyst_data['ratingsList'] 
+                                   if datetime.strptime(item["date"], "%Y-%m-%d").date() >= threshold_date]
+                        if ratings:
+                            for item_ratings in ratings:
+                                try:
+                                    res.append({
+                                        'analystName': analyst_data['analystName'],
+                                        'analystId': analyst_data['analystId'],
+                                        'analystScore': analyst_data['analystScore'],
+                                        'date': item_ratings['date'],
+                                        'name': item_ratings['name'],
+                                        'symbol': item_ratings['ticker'],
+                                        'adjusted_pt_current': item_ratings['adjusted_pt_current'],
+                                        'adjusted_pt_prior': item_ratings['adjusted_pt_prior'],
+                                        'upside': item_ratings['upside'],
+                                        'action': item_ratings['action_company'],
+                                        'rating_current': item_ratings['rating_current']
+                                    })
+                                except Exception as e:
+                                    print(e)
+            except Exception as e:
+                print(f"Error processing {file_name}: {e}")
+    except Exception as e:
+        print("Error reading directory:", e)
+        return []
+    return res
+
+
+if __name__ == "__main__":
+    data = get_analyst_from_directory()
+    sorted_data = sorted(data, key=lambda x: datetime.strptime(x['date'], "%Y-%m-%d"), reverse=True)
+    if sorted_data:
+        save_json(sorted_data)

app/main.py

@@ -3143,6 +3143,35 @@ async def get_all_analysts(data:AnalystId, api_key: str = Security(get_api_key))
         headers={"Content-Encoding": "gzip"}
     )
 
+@app.get("/analyst-flow")
+async def get_all_analysts(api_key: str = Security(get_api_key)):
+
+    cache_key = f"analyst-flow"
+    cached_result = redis_client.get(cache_key)
+    if cached_result:
+        return StreamingResponse(
+        io.BytesIO(cached_result),
+        media_type="application/json",
+        headers={"Content-Encoding": "gzip"})
+
+    try:
+        with open(f"json/analyst/flow-data.json", 'rb') as file:
+            res = orjson.loads(file.read())
+    except:
+        res = []
+
+    data = orjson.dumps(res)
+    compressed_data = gzip.compress(data)
+
+    redis_client.set(cache_key, compressed_data)
+    redis_client.expire(cache_key, 60*5)
+
+    return StreamingResponse(
+        io.BytesIO(compressed_data),
+        media_type="application/json",
+        headers={"Content-Encoding": "gzip"}
+    )
+
 @app.post("/wiim")
 async def get_wiim(data:TickerData, api_key: str = Security(get_api_key)):
     ticker = data.ticker.upper()

app/primary_cron_job.py

@@ -215,6 +215,7 @@ def run_analyst_rating():
         run_command(["python3", "cron_analyst_insight.py"])
         run_command(["python3", "cron_analyst_db.py"])
         run_command(["python3", "cron_analyst_ticker.py"])
+        run_command(["python3", "cron_analyst_flow.py"])
 
 def run_market_moods():
     week = datetime.today().weekday()