Daemon running in 1 process

app/api/background_drift.py

@@ -13,7 +13,7 @@ REFERENCE_PATH = "models/v1/reference_data.csv"
 PROD_LOG_PATH = "data/production/predictions_log.csv"
 DASHBOARD_JSON = "reports/evidently/drift_report.json"
 
-MAX_ROWS = 5000
+MAX_ROWS = 5000  # rolling window
 os.makedirs(os.path.dirname(DASHBOARD_JSON), exist_ok=True)
 
 async def drift_loop(interval_seconds: int = 10):
@@ -25,12 +25,15 @@ async def drift_loop(interval_seconds: int = 10):
 
             prod_df = pd.read_csv(PROD_LOG_PATH)
 
+            # Retention window
             if len(prod_df) > MAX_ROWS:
                 prod_df = prod_df.tail(MAX_ROWS)
                 prod_df.to_csv(PROD_LOG_PATH, index=False)
 
-            missing = set(predictor.features) - set(prod_df.columns)
-            if missing:
+            # Keep only rows with all required features
+            missing_features = set(predictor.features) - set(prod_df.columns)
+            if missing_features:
+                print(f"Skipping drift check, missing features: {missing_features}")
                 await asyncio.sleep(interval_seconds)
                 continue
 
@@ -41,34 +44,37 @@ async def drift_loop(interval_seconds: int = 10):
 
             reference_df = pd.read_csv(REFERENCE_PATH)
 
+            # ---- Run drift on features only ----
             _, drift_dict = run_drift_check(
                 prod_df[predictor.features],
                 reference_df[predictor.features],
                 model_version="v1"
             )
 
-            # ---- RECENT PREDICTIONS FIX ----
-            recent_results = []
-            if "prediction" in prod_df.columns:
-                recent_results = (
-                    prod_df[["prediction"]]
-                    .tail(10)
-                    .to_dict(orient="records")
-                )
+            # ---- Populate predictions for dashboard ----
+            results = []
+            if "model_prediction" in prod_df.columns and "model_probability" in prod_df.columns:
+                for i, row in prod_df.tail(50).iterrows():  # last 50 rows
+                    results.append({
+                        "row": i,
+                        "prediction": "Default" if row["model_prediction"] == 1 else "No Default",
+                        "probability": round(float(row["model_probability"]), 4),
+                        "risk_level": row.get("model_risk_level", "Unknown")
+                    })
 
             dashboard_payload = {
                 "n_rows": len(prod_df),
-                "results": recent_results,
+                "results": results,
                 "drift": [
                     {"column": col, "score": float(score)}
                     for col, score in drift_dict.items()
                 ],
             }
 
-            tmp = DASHBOARD_JSON + ".tmp"
-            with open(tmp, "w") as f:
+            tmp_path = DASHBOARD_JSON + ".tmp"
+            with open(tmp_path, "w") as f:
                 json.dump(dashboard_payload, f, indent=2)
-            os.replace(tmp, DASHBOARD_JSON)
+            os.replace(tmp_path, DASHBOARD_JSON)
 
         except Exception as e:
             print("Drift loop error:", e)

app/api/schemas.py

@@ -1,3 +1,4 @@
+# app\api\schemas.py
 # Pydantic input/output schemas
 
 from pydantic import BaseModel

app/main.py

@@ -2,44 +2,153 @@
 from fastapi import FastAPI
 from fastapi.staticfiles import StaticFiles
 import asyncio
-from contextlib import asynccontextmanager
+import os
+import pandas as pd
+import random
+import json
+from datetime import datetime
 
 from app.api.routes import router
 from app.api.dashboard_data import router as dashboard_data_router
+from app.inference.predictor import Predictor
+from app.monitoring.drift import run_drift_check
 from app.core.logging import init_db
-from app.api.background_drift import drift_loop
-from app.api.traffic_daemon import traffic_loop
 
+# ---- Constants ----
+PROD_LOG_PATH = "data/production/predictions_log.csv"
+REFERENCE_PATH = "models/v1/reference_data.csv"
+DASHBOARD_JSON = "reports/evidently/drift_report.json"
+SOURCE_DATA = "data/processed/current_data.csv"
 
-@asynccontextmanager
-async def lifespan(app: FastAPI):
-    # ---- Startup ----
-    init_db()
+# ---- Config ----
+STARTUP_DELAY = 5
+MIN_SLEEP = 2
+MAX_SLEEP = 8
+MIN_BATCH = 1
+MAX_BATCH = 5
+MAX_DRIFT_ROWS = 9000
+MAX_DISPLAY = 101  # last N predictions for dashboard
 
-    # Start drift detection loop
-    drift_task = asyncio.create_task(drift_loop(interval_seconds=10))
+predictor = Predictor()
+os.makedirs(os.path.dirname(DASHBOARD_JSON), exist_ok=True)
 
-    # Start traffic daemon (delayed internally, HF-safe)
-    traffic_task = asyncio.create_task(traffic_loop())
+# ---- Traffic daemon in-process (no HTTP call) ----
+async def traffic_loop():
+    await asyncio.sleep(STARTUP_DELAY)
+    if not os.path.exists(SOURCE_DATA):
+        print("Traffic daemon: source data not found, disabled.")
+        return
 
-    yield
+    df_source = pd.read_csv(SOURCE_DATA)
+    print("Traffic daemon started (in-process).")
+
+    while True:
+        try:
+            batch_size = random.randint(MIN_BATCH, MAX_BATCH)
+            sample = df_source.sample(batch_size)
+            # In-process prediction instead of requests.post
+            preds, probas = predictor.predict(sample)
+            df_log = sample.copy()
+            df_log["model_prediction"] = preds
+            df_log["model_probability"] = probas
+            df_log["model_risk_level"] = [
+                "High" if p >= 0.75 else "Medium" if p >= 0.5 else "Low"
+                for p in probas
+            ]
+            df_log["model_version"] = predictor.model_version
+            df_log["timestamp"] = pd.Timestamp.utcnow()
+            df_log.to_csv(PROD_LOG_PATH, mode="a", header=not os.path.exists(PROD_LOG_PATH), index=False)
+
+        except Exception as e:
+            print("Traffic daemon error:", e)
+
+        await asyncio.sleep(random.uniform(MIN_SLEEP, MAX_SLEEP))
+
+
+# ---- Drift loop ----
+async def drift_loop(interval_seconds: int = 10):
+    while True:
+        try:
+            if not os.path.exists(PROD_LOG_PATH):
+                await asyncio.sleep(interval_seconds)
+                continue
+
+            prod_df = pd.read_csv(PROD_LOG_PATH)
+            if len(prod_df) > MAX_DRIFT_ROWS:
+                prod_df = prod_df.tail(MAX_DRIFT_ROWS)
+                prod_df.to_csv(PROD_LOG_PATH, index=False)
+
+            missing_features = set(predictor.features) - set(prod_df.columns)
+            if missing_features:
+                await asyncio.sleep(interval_seconds)
+                continue
+
+            prod_df = prod_df.dropna(subset=predictor.features)
+            if prod_df.empty:
+                await asyncio.sleep(interval_seconds)
+                continue
 
-    # ---- Shutdown ----
-    for task in (drift_task, traffic_task):
-        task.cancel()
+            reference_df = pd.read_csv(REFERENCE_PATH)
+            _, drift_dict = run_drift_check(
+                prod_df[predictor.features],
+                reference_df[predictor.features],
+                model_version="v1"
+            )
+
+            # Prepare last N predictions for dashboard
+            results = []
+            log_cols = ["model_prediction", "model_probability", "model_risk_level"]
+            if all(c in prod_df.columns for c in log_cols):
+                for i, row in prod_df.tail(MAX_DISPLAY).iterrows():
+                    results.append({
+                        "row": i,
+                        "prediction": "Default" if row["model_prediction"] == 1 else "No Default",
+                        "probability": round(float(row["model_probability"]), 4),
+                        "risk_level": row.get("model_risk_level", "Unknown")
+                    })
+
+            dashboard_payload = {
+                "n_rows": len(prod_df),
+                "results": results,
+                "drift": [
+                    {"column": col, "score": float(score)}
+                    for col, score in drift_dict.items()
+                ],
+            }
+
+            tmp_path = DASHBOARD_JSON + ".tmp"
+            with open(tmp_path, "w") as f:
+                json.dump(dashboard_payload, f, indent=2)
+            os.replace(tmp_path, DASHBOARD_JSON)
+
+        except Exception as e:
+            print("Drift loop error:", e)
+
+        await asyncio.sleep(interval_seconds)
+
+
+# ---- HF-compatible lifespan ----
+from contextlib import asynccontextmanager
+
+@asynccontextmanager
+async def lifespan(app: FastAPI):
+    init_db()
+    tasks = [
+        asyncio.create_task(traffic_loop()),
+        asyncio.create_task(drift_loop(10))
+    ]
+    yield
+    for t in tasks:
+        t.cancel()
         try:
-            await task
+            await t
         except asyncio.CancelledError:
             pass
 
 
-app = FastAPI(
-    title="ML Inference Service",
-    lifespan=lifespan,
-)
-
+# ---- FastAPI app ----
+app = FastAPI(title="ML Inference Service", lifespan=lifespan)
 app.mount("/static", StaticFiles(directory="app/static"), name="static")
 app.mount("/reports", StaticFiles(directory="reports"), name="reports")
-
 app.include_router(router)
 app.include_router(dashboard_data_router)

app/templates/dashboard.html

@@ -8,11 +8,6 @@
 </head>
 <body>
     <h1>ML Inference Service</h1>
-    
-    <form id="upload-form" action="/predict" method="post" enctype="multipart/form-data">
-        <input type="file" name="file" accept=".csv" required>
-        <button type="submit">Run Prediction</button>
-    </form>
 
     <h2>Recent Predictions</h2>
     <div id="predictions"></div>

data/production/predictions_log.csv

@@ -1,56 +1,184 @@
 credit_limit,age,pay_delay_sep,pay_delay_aug,bill_amt_sep,bill_amt_aug,pay_amt_sep,pay_amt_aug,target,model_prediction,model_probability,model_risk_level,model_version,timestamp
-50000.0,33,0,0,97190.0,48290.0,1787.0,2130.0,1,0,0.1804385044617603,Low,v1,2026-01-15 14:39:21.210373+00:00
-20000.0,46,3,2,7283.0,7021.0,0.0,4500.0,1,1,0.7553791024965691,High,v1,2026-01-15 14:39:21.210373+00:00
-300000.0,40,0,0,11704.0,10196.0,1139.0,1322.0,0,0,0.20450220928716306,Low,v1,2026-01-15 14:39:21.210373+00:00
-80000.0,60,0,0,37298.0,19025.0,3000.0,3000.0,0,0,0.25154040383793624,Low,v1,2026-01-15 14:39:21.210373+00:00
-400000.0,30,-1,0,11633.0,12294.0,1200.0,1287.0,0,0,0.10411511271400851,Low,v1,2026-01-15 14:39:29.029073+00:00
-500000.0,29,0,0,36051.0,30912.0,2065.0,25099.0,0,0,0.12606911272930607,Low,v1,2026-01-15 14:39:36.859960+00:00
-240000.0,31,1,-1,0.0,780.0,780.0,0.0,0,0,0.28974853648777926,Low,v1,2026-01-15 14:39:36.859960+00:00
-260000.0,40,-2,-2,-6.0,-6.0,0.0,1308.0,0,0,0.056546980434214106,Low,v1,2026-01-15 14:39:36.859960+00:00
-130000.0,33,-1,-1,1365.0,84118.0,84118.0,44404.0,0,0,0.043838283992915346,Low,v1,2026-01-15 14:39:36.859960+00:00
-50000.0,32,1,2,48793.0,50194.0,2500.0,0.0,1,0,0.4260673115059732,Low,v1,2026-01-15 14:39:43.860238+00:00
-80000.0,49,0,0,77985.0,80886.0,4200.0,3800.0,0,0,0.23269071649133904,Low,v1,2026-01-15 14:39:48.163558+00:00
-100000.0,29,2,2,1526.0,0.0,0.0,0.0,0,1,0.5796688956602446,Medium,v1,2026-01-15 14:39:58.672574+00:00
-290000.0,46,-1,-1,30365.0,32571.0,32575.0,36982.0,0,0,0.0584229531214138,Low,v1,2026-01-15 14:39:58.672574+00:00
-320000.0,44,1,-1,-1.0,507.0,508.0,0.0,0,0,0.2987311807316625,Low,v1,2026-01-15 14:40:04.793923+00:00
-160000.0,40,-1,-1,6102.0,0.0,0.0,0.0,0,0,0.12270507259333978,Low,v1,2026-01-15 14:40:04.793923+00:00
-130000.0,43,0,0,126965.0,130067.0,6739.0,5540.0,1,0,0.19388267436144854,Low,v1,2026-01-15 14:40:13.501018+00:00
-260000.0,27,0,0,106164.0,105133.0,3834.0,4523.0,0,0,0.16127152491615304,Low,v1,2026-01-15 14:40:13.501018+00:00
-40000.0,43,-1,-1,780.0,177.0,177.0,1583.0,0,0,0.14186716542904407,Low,v1,2026-01-15 14:40:13.501018+00:00
-110000.0,34,-2,-2,0.0,576.0,576.0,0.0,0,0,0.062332392898566666,Low,v1,2026-01-15 14:40:20.006395+00:00
-210000.0,36,-2,-2,14516.0,4895.0,4915.0,5292.0,0,0,0.04924375554587494,Low,v1,2026-01-15 14:40:20.006395+00:00
-20000.0,42,1,3,21001.0,20372.0,0.0,0.0,0,1,0.5145764874248748,Medium,v1,2026-01-15 14:40:20.006395+00:00
-50000.0,49,0,0,36325.0,0.0,0.0,0.0,0,0,0.2363150997364206,Low,v1,2026-01-15 14:40:20.006395+00:00
-20000.0,48,-1,0,1522.0,1261.0,1000.0,1261.0,1,0,0.17134445414179778,Low,v1,2026-01-15 14:40:28.311329+00:00
-250000.0,39,-1,-1,9690.0,0.0,0.0,1222.0,0,0,0.10909719188774306,Low,v1,2026-01-15 14:40:28.311329+00:00
-180000.0,38,0,0,25895.0,26173.0,2000.0,2000.0,0,0,0.21658772347603006,Low,v1,2026-01-15 14:40:28.311329+00:00
-100000.0,23,0,0,10693.0,26226.0,22622.0,2326.0,0,0,0.17870364486896678,Low,v1,2026-01-15 14:40:31.106495+00:00
-80000.0,25,0,0,80804.0,81390.0,3000.0,3058.0,0,0,0.19577675358425942,Low,v1,2026-01-15 14:40:43.244828+00:00
-210000.0,46,-1,2,594.0,594.0,0.0,21451.0,0,0,0.16512318451746683,Low,v1,2026-01-15 14:40:43.244828+00:00
-70000.0,26,0,0,64691.0,65259.0,2500.0,2500.0,0,0,0.2047739573296646,Low,v1,2026-01-15 14:40:43.244828+00:00
-180000.0,29,-2,-1,0.0,287.0,287.0,5293.0,0,0,0.06241157621220985,Low,v1,2026-01-15 14:40:49.027202+00:00
-100000.0,23,0,0,10693.0,26226.0,22622.0,2326.0,0,0,0.17870364486896678,Low,v1,2026-01-15 14:40:49.027202+00:00
-20000.0,34,0,0,16912.0,-2.0,0.0,0.0,0,0,0.23624160522941404,Low,v1,2026-01-15 14:40:52.564090+00:00
-330000.0,29,0,0,25131.0,16610.0,1200.0,1157.0,0,0,0.17610328015130866,Low,v1,2026-01-15 14:40:52.564090+00:00
-30000.0,60,3,2,1950.0,1950.0,0.0,0.0,1,1,0.7854493035443985,High,v1,2026-01-15 14:40:52.564090+00:00
-20000.0,46,0,0,7790.0,9985.0,2500.0,2500.0,0,0,0.26510873028847315,Low,v1,2026-01-15 14:40:52.564090+00:00
-150000.0,31,0,0,19057.0,20091.0,1500.0,1500.0,0,0,0.21473942516819014,Low,v1,2026-01-15 14:40:52.564090+00:00
-80000.0,36,0,0,73873.0,61134.0,2006.0,8199.0,0,0,0.20036185020908953,Low,v1,2026-01-15 14:41:00.305074+00:00
-180000.0,28,-1,-1,2393.0,5428.0,5461.0,5834.0,0,0,0.10180739247553196,Low,v1,2026-01-15 14:41:00.305074+00:00
-200000.0,23,0,0,61650.0,0.0,0.0,0.0,1,0,0.15210106192467238,Low,v1,2026-01-15 14:41:00.305074+00:00
-210000.0,30,0,0,158805.0,159093.0,5404.0,6230.0,0,0,0.15697149475053657,Low,v1,2026-01-15 14:41:00.305074+00:00
-280000.0,64,0,0,22715.0,37818.0,15506.0,17.0,0,0,0.22587754812746172,Low,v1,2026-01-15 14:41:00.305074+00:00
-230000.0,29,2,0,306836.0,295324.0,9062.0,10978.0,0,0,0.29524851464265855,Low,v1,2026-01-15 14:41:05.055813+00:00
-100000.0,35,-1,0,50327.0,51326.0,1835.0,1902.0,0,0,0.1336268941509025,Low,v1,2026-01-15 14:41:05.055813+00:00
-20000.0,32,0,0,16354.0,17776.0,1700.0,4000.0,0,0,0.23659356351954647,Low,v1,2026-01-15 14:41:05.055813+00:00
-100000.0,28,0,0,77007.0,80708.0,5000.0,5000.0,0,0,0.1933584254427851,Low,v1,2026-01-15 14:41:05.055813+00:00
-110000.0,28,0,0,91286.0,91850.0,8080.0,14298.0,0,0,0.1689978799754256,Low,v1,2026-01-15 14:41:07.735978+00:00
-20000.0,22,4,3,16226.0,15682.0,0.0,0.0,1,1,0.8444265380220718,High,v1,2026-01-15 14:41:07.735978+00:00
-80000.0,35,1,-2,0.0,0.0,0.0,0.0,0,0,0.29927475273681203,Low,v1,2026-01-15 14:41:07.735978+00:00
-250000.0,38,-1,-1,6352.0,6790.0,6790.0,5418.0,0,0,0.10110789279667448,Low,v1,2026-01-15 14:41:07.735978+00:00
-500000.0,51,1,2,231300.0,235865.0,9838.0,0.0,0,0,0.2791835505258167,Low,v1,2026-01-15 14:41:14.867614+00:00
-50000.0,24,0,0,43638.0,42146.0,2200.0,1700.0,0,0,0.21084246990467198,Low,v1,2026-01-15 14:41:14.867614+00:00
-30000.0,29,-1,-1,390.0,390.0,390.0,390.0,0,0,0.12879285189363796,Low,v1,2026-01-15 14:41:14.867614+00:00
-390000.0,33,0,0,84100.0,85538.0,5000.0,3500.0,0,0,0.1561819062051771,Low,v1,2026-01-15 14:41:14.867614+00:00
-20000.0,22,2,3,15662.0,16004.0,900.0,1600.0,0,1,0.6132599070455226,Medium,v1,2026-01-15 14:41:14.867614+00:00
-100000.0,22,0,0,100192.0,93394.0,3000.0,3000.0,0,0,0.17910116502433332,Low,v1,2026-01-15 14:41:17.548871+00:00
+60000.0,27,2,0,58598.0,56486.0,2632.0,5924.0,1,0,0.46022111587139114,Low,v1,2026-01-15 15:48:22.202109+00:00
+380000.0,43,-1,-1,18866.0,20840.0,20884.0,188.0,0,0,0.08163141888135111,Low,v1,2026-01-15 15:48:22.202109+00:00
+300000.0,31,0,0,80928.0,82690.0,4000.0,4000.0,0,0,0.1681984943370852,Low,v1,2026-01-15 15:48:22.202109+00:00
+50000.0,50,0,0,49068.0,47947.0,1848.0,2194.0,0,0,0.2534631043156498,Low,v1,2026-01-15 15:48:22.202109+00:00
+190000.0,42,0,0,3747.0,3313.0,1000.0,1004.0,1,0,0.2306097042517203,Low,v1,2026-01-15 15:48:22.202109+00:00
+60000.0,41,-1,-1,866.0,29123.0,29687.0,30000.0,0,0,0.08786311199103952,Low,v1,2026-01-15 15:48:26.378499+00:00
+50000.0,26,1,-2,0.0,0.0,0.0,0.0,0,0,0.28798824355261154,Low,v1,2026-01-15 15:48:26.378499+00:00
+30000.0,36,-1,-1,528.0,-120.0,0.0,0.0,1,0,0.13705900163013654,Low,v1,2026-01-15 15:48:26.378499+00:00
+200000.0,48,-1,-1,419.0,419.0,419.0,392.0,0,0,0.12932831521840793,Low,v1,2026-01-15 15:48:32.162673+00:00
+450000.0,44,-2,-2,8521.0,15934.0,16080.0,7299.0,0,0,0.03873326532997504,Low,v1,2026-01-15 15:48:32.162673+00:00
+10000.0,36,2,0,9075.0,8593.0,2000.0,1300.0,0,1,0.5273186852986392,Medium,v1,2026-01-15 15:48:32.162673+00:00
+160000.0,47,-1,-1,386.0,907.0,907.0,3707.0,0,0,0.12925617042837417,Low,v1,2026-01-15 15:48:32.162673+00:00
+170000.0,42,-1,-1,610.0,995.0,995.0,2429.0,0,0,0.1238622397612662,Low,v1,2026-01-15 15:48:36.926965+00:00
+30000.0,29,0,0,10456.0,13164.0,3200.0,0.0,1,0,0.23493571998259352,Low,v1,2026-01-15 15:48:36.926965+00:00
+10000.0,33,1,-2,0.0,0.0,0.0,0.0,0,0,0.31051382321189047,Low,v1,2026-01-15 15:48:36.926965+00:00
+410000.0,42,0,0,407873.0,412650.0,18026.0,18026.0,0,0,0.08255212185267115,Low,v1,2026-01-15 15:48:36.926965+00:00
+100000.0,28,0,0,188853.0,180765.0,5003.0,3018.0,0,0,0.16298662757305296,Low,v1,2026-01-15 15:48:40.419997+00:00
+280000.0,38,0,0,242864.0,237821.0,11000.0,11000.0,0,0,0.12524469883980022,Low,v1,2026-01-15 15:48:46.990122+00:00
+100000.0,31,2,2,41052.0,42081.0,2000.0,0.0,1,1,0.5654169263991979,Medium,v1,2026-01-15 15:48:51.550714+00:00
+130000.0,37,0,0,25991.0,28053.0,2500.0,3300.0,1,0,0.22201353058681003,Low,v1,2026-01-15 15:49:01.795611+00:00
+50000.0,27,0,0,47452.0,48663.0,2000.0,2500.0,1,0,0.2157673496984122,Low,v1,2026-01-15 15:49:01.795611+00:00
+80000.0,34,2,2,72557.0,77708.0,7000.0,3500.0,1,1,0.546328777953754,Medium,v1,2026-01-15 15:49:05.119670+00:00
+170000.0,27,-1,-1,272.0,272.0,272.0,272.0,0,0,0.11185897164210187,Low,v1,2026-01-15 15:49:05.119670+00:00
+430000.0,38,-2,-2,37693.0,3390.0,3507.0,5960.0,0,0,0.035776377946610205,Low,v1,2026-01-15 15:49:05.119670+00:00
+50000.0,58,0,0,7308.0,7987.0,1200.0,1500.0,0,0,0.28555095738472874,Low,v1,2026-01-15 15:49:05.119670+00:00
+250000.0,28,-2,-1,4003.0,2527.0,2549.0,1715.0,0,0,0.057159436033199854,Low,v1,2026-01-15 15:49:11.397143+00:00
+350000.0,35,0,0,314309.0,313673.0,13000.0,15074.0,0,0,0.09988136170969168,Low,v1,2026-01-15 15:49:11.397143+00:00
+360000.0,33,1,-2,0.0,0.0,0.0,0.0,1,0,0.23909594729282518,Low,v1,2026-01-15 15:49:16.578873+00:00
+390000.0,32,0,0,16566.0,20213.0,9076.0,8000.0,0,0,0.1582165013088632,Low,v1,2026-01-15 15:49:16.578873+00:00
+80000.0,39,0,0,41753.0,42956.0,2200.0,2000.0,0,0,0.23200463926653903,Low,v1,2026-01-15 15:49:16.578873+00:00
+440000.0,29,-1,-1,23147.0,88848.0,70554.0,45213.0,0,0,0.033014032707128646,Low,v1,2026-01-15 15:49:16.578873+00:00
+260000.0,59,-1,-1,1929.0,-627.0,627.0,7388.0,0,0,0.12568601731736007,Low,v1,2026-01-15 15:49:18.615459+00:00
+200000.0,28,-1,-1,1707.0,1106.0,1109.0,2807.0,0,0,0.10618308951725719,Low,v1,2026-01-15 15:49:18.615459+00:00
+30000.0,25,0,0,26815.0,27990.0,2000.0,2000.0,0,0,0.2222996161982585,Low,v1,2026-01-15 15:49:18.615459+00:00
+360000.0,50,1,-2,4767.0,-233.0,0.0,0.0,0,0,0.26410069590690555,Low,v1,2026-01-15 15:49:18.615459+00:00
+50000.0,47,-1,-1,390.0,390.0,390.0,780.0,0,0,0.14616230087073157,Low,v1,2026-01-15 15:49:18.615459+00:00
+290000.0,36,0,0,42512.0,23991.0,3000.0,2010.0,0,0,0.17732964018565886,Low,v1,2026-01-15 15:49:21.281759+00:00
+120000.0,25,0,0,70282.0,71463.0,4000.0,3000.0,0,0,0.19041323321754652,Low,v1,2026-01-15 15:49:21.281759+00:00
+370000.0,45,0,0,123485.0,129885.0,10000.0,7000.0,0,0,0.15605359005440206,Low,v1,2026-01-15 15:49:21.281759+00:00
+50000.0,42,-1,-1,565.0,5481.0,5481.0,0.0,0,0,0.13577576555208365,Low,v1,2026-01-15 15:49:31.423025+00:00
+50000.0,26,0,0,46008.0,3756.0,1007.0,1000.0,0,0,0.18968239660355415,Low,v1,2026-01-15 15:49:31.423025+00:00
+150000.0,40,0,0,74985.0,76745.0,3400.0,1600.0,0,0,0.21057799395811122,Low,v1,2026-01-15 15:49:34.722330+00:00
+140000.0,59,1,2,63654.0,62042.0,0.0,3000.0,0,0,0.4590719969370137,Low,v1,2026-01-15 15:49:34.722330+00:00
+20000.0,27,0,0,13621.0,14984.0,1596.0,2000.0,0,0,0.2321193036930491,Low,v1,2026-01-15 15:49:34.722330+00:00
+30000.0,25,0,0,15767.0,16083.0,1488.0,1000.0,0,0,0.2273359051480552,Low,v1,2026-01-15 15:49:37.720353+00:00
+500000.0,40,0,0,215508.0,214460.0,10004.0,10025.0,0,0,0.1120125363859847,Low,v1,2026-01-15 15:49:37.720353+00:00
+20000.0,24,2,-1,1015.0,19214.0,19214.0,0.0,1,0,0.42625361292407193,Low,v1,2026-01-15 15:49:46.236148+00:00
+20000.0,23,0,0,19247.0,18055.0,2500.0,1100.0,0,0,0.22138756621602754,Low,v1,2026-01-15 15:49:46.236148+00:00
+240000.0,30,0,0,236823.0,241067.0,10279.0,10500.0,0,0,0.12820606707657664,Low,v1,2026-01-15 15:49:46.236148+00:00
+70000.0,37,0,0,67374.0,70890.0,6044.0,0.0,0,0,0.21950438193733593,Low,v1,2026-01-15 15:49:46.236148+00:00
+230000.0,42,-2,-2,107.0,529.0,529.0,135.0,0,0,0.05953136463587196,Low,v1,2026-01-15 15:49:46.236148+00:00
+160000.0,30,0,0,13680.0,6729.0,2019.0,120377.0,0,0,0.08618650339410149,Low,v1,2026-01-15 15:49:54.220561+00:00
+110000.0,50,1,-1,-10682.0,50928.0,62000.0,5000.0,0,0,0.24224078329956894,Low,v1,2026-01-15 15:49:54.220561+00:00
+130000.0,23,-1,-1,4459.0,13453.0,13485.0,3656.0,0,0,0.09656737513303587,Low,v1,2026-01-15 15:49:54.220561+00:00
+230000.0,30,0,0,234521.0,228486.0,9800.0,8502.0,0,0,0.12759605269323787,Low,v1,2026-01-15 15:49:54.220561+00:00
+500000.0,41,-2,-2,6305.0,5692.0,6332.0,1742.0,0,0,0.0411307309175689,Low,v1,2026-01-15 15:49:54.220561+00:00
+80000.0,25,0,0,47836.0,49038.0,2000.0,5000.0,0,0,0.20387309976426787,Low,v1,2026-01-15 15:50:01.048031+00:00
+500000.0,32,0,0,422713.0,406204.0,15000.0,16000.0,0,0,0.06593387266081487,Low,v1,2026-01-15 15:50:01.048031+00:00
+220000.0,48,1,-2,0.0,0.0,0.0,0.0,0,0,0.2949311797543944,Low,v1,2026-01-15 15:50:01.048031+00:00
+300000.0,43,1,-2,499.0,0.0,0.0,0.0,0,0,0.2681469299118264,Low,v1,2026-01-15 15:50:01.048031+00:00
+500000.0,33,0,0,28498.0,26117.0,5000.0,5000.0,0,0,0.1491635343812288,Low,v1,2026-01-15 15:50:06.244136+00:00
+140000.0,34,0,0,70649.0,72069.0,3100.0,3140.0,0,0,0.20231510063952296,Low,v1,2026-01-15 15:50:06.244136+00:00
+80000.0,25,-1,2,259.0,259.0,0.0,0.0,0,0,0.18205934979464236,Low,v1,2026-01-15 15:50:15.892211+00:00
+200000.0,48,-2,-2,119139.0,5844.0,5844.0,3694.0,0,0,0.03142123501525999,Low,v1,2026-01-15 15:50:15.892211+00:00
+400000.0,32,0,0,46782.0,48075.0,2036.0,1776.0,0,0,0.16854830723026445,Low,v1,2026-01-15 15:50:15.892211+00:00
+320000.0,28,0,-1,5799.0,70891.0,70891.0,7001.0,0,0,0.09012335948857973,Low,v1,2026-01-15 15:50:15.892211+00:00
+260000.0,43,-1,-1,684.0,1726.0,1742.0,0.0,0,0,0.11653313571266236,Low,v1,2026-01-15 15:50:15.892211+00:00
+200000.0,26,-2,-2,2232.0,3967.0,3967.0,1348.0,0,0,0.05055263017500499,Low,v1,2026-01-15 15:50:21.633960+00:00
+80000.0,30,-1,-1,2994.0,16709.0,16709.0,29469.0,0,0,0.08645436627493883,Low,v1,2026-01-15 15:50:21.633960+00:00
+180000.0,32,-2,-2,0.0,0.0,0.0,0.0,0,0,0.057494042517937057,Low,v1,2026-01-15 15:50:21.633960+00:00
+200000.0,39,0,0,192257.0,192560.0,7004.0,10061.0,0,0,0.15563507551228575,Low,v1,2026-01-15 15:50:21.633960+00:00
+140000.0,38,0,0,84539.0,96604.0,18000.0,0.0,0,0,0.1860796767101715,Low,v1,2026-01-15 15:50:21.633960+00:00
+330000.0,58,-2,-2,880.0,2304.0,2304.0,0.0,1,0,0.06124056377917473,Low,v1,2026-01-15 15:50:24.282431+00:00
+70000.0,45,0,0,67062.0,68622.0,3000.0,1500.0,0,0,0.23609694247509652,Low,v1,2026-01-15 15:50:30.720954+00:00
+140000.0,31,-1,-1,7695.0,1680.0,1680.0,1771.0,0,0,0.11199651324566236,Low,v1,2026-01-15 15:50:30.720954+00:00
+210000.0,36,-1,-1,2853.0,8028.0,8037.0,6018.0,0,0,0.10351574684822828,Low,v1,2026-01-15 15:50:30.720954+00:00
+80000.0,29,-1,-1,28175.0,0.0,0.0,68227.0,0,0,0.06316416524010535,Low,v1,2026-01-15 15:50:33.988606+00:00
+80000.0,41,0,0,35646.0,38040.0,3000.0,2135.0,0,0,0.23596467633374518,Low,v1,2026-01-15 15:50:33.988606+00:00
+300000.0,36,-1,-1,8310.0,2592.0,2592.0,77000.0,0,0,0.05517567368124014,Low,v1,2026-01-15 15:50:33.988606+00:00
+70000.0,39,0,0,54801.0,52714.0,5336.0,1268.0,0,0,0.2218754677219873,Low,v1,2026-01-15 15:50:40.214325+00:00
+300000.0,28,0,0,275855.0,286812.0,15000.0,7000.0,1,0,0.11287067335232757,Low,v1,2026-01-15 15:50:40.214325+00:00
+270000.0,45,0,0,218116.0,207533.0,10041.0,10064.0,0,0,0.13814076583455742,Low,v1,2026-01-15 15:50:40.214325+00:00
+230000.0,25,0,0,9167.0,10468.0,1392.0,2000.0,0,0,0.19435961728418047,Low,v1,2026-01-15 15:50:45.554270+00:00
+80000.0,45,-1,-1,2574.0,390.0,390.0,3889.0,0,0,0.13542694270735614,Low,v1,2026-01-15 15:50:45.554270+00:00
+110000.0,43,0,0,92244.0,93815.0,4500.0,5000.0,0,0,0.2103397198887778,Low,v1,2026-01-15 15:50:45.554270+00:00
+60000.0,33,-1,0,14932.0,12840.0,5000.0,10390.0,0,0,0.12818843100695615,Low,v1,2026-01-15 15:50:52.930553+00:00
+50000.0,27,-1,-1,6018.0,0.0,0.0,0.0,0,0,0.12167844707682686,Low,v1,2026-01-15 15:51:00.364046+00:00
+290000.0,33,0,0,242422.0,221004.0,7757.0,7697.0,0,0,0.11933538141642315,Low,v1,2026-01-15 15:51:00.364046+00:00
+180000.0,34,1,-2,3700.0,4696.0,4696.0,3763.0,0,0,0.2578947525265422,Low,v1,2026-01-15 15:51:00.364046+00:00
+230000.0,35,0,0,170413.0,166858.0,5976.0,6158.0,0,0,0.15511979473489848,Low,v1,2026-01-15 15:51:06.766073+00:00
+50000.0,40,0,0,6732.0,9052.0,2441.0,0.0,0,0,0.252933093073792,Low,v1,2026-01-15 15:51:06.766073+00:00
+80000.0,24,0,0,56222.0,52268.0,2000.0,1800.0,0,0,0.20117300277725783,Low,v1,2026-01-15 15:51:06.766073+00:00
+190000.0,41,0,0,33798.0,34931.0,2000.0,2000.0,0,0,0.21816113532976744,Low,v1,2026-01-15 15:51:06.766073+00:00
+20000.0,56,0,0,19774.0,14990.0,2009.0,2000.0,0,0,0.2764740084118113,Low,v1,2026-01-15 15:51:06.766073+00:00
+170000.0,41,0,0,76704.0,50301.0,2405.0,2000.0,0,0,0.1911638602498778,Low,v1,2026-01-15 15:51:15.831808+00:00
+80000.0,27,-1,0,79690.0,80976.0,3181.0,2050.0,0,0,0.12047124693263338,Low,v1,2026-01-15 15:51:15.831808+00:00
+80000.0,29,2,2,41355.0,40395.0,0.0,3800.0,1,1,0.5619997926906369,Medium,v1,2026-01-15 15:51:18.328077+00:00
+80000.0,26,0,0,78872.0,80301.0,2800.0,2800.0,0,0,0.1990661877960707,Low,v1,2026-01-15 15:51:18.328077+00:00
+180000.0,36,0,0,8911.0,5838.0,1034.0,2.0,0,0,0.2205660193852535,Low,v1,2026-01-15 15:51:18.328077+00:00
+70000.0,31,0,-1,9319.0,3652.0,3652.0,2284.0,0,0,0.1939887485826678,Low,v1,2026-01-15 15:51:18.328077+00:00
+50000.0,44,0,0,48592.0,38491.0,1063.0,900.0,1,0,0.24004923752909257,Low,v1,2026-01-15 15:51:21.349424+00:00
+20000.0,36,0,0,18958.0,19427.0,1500.0,2000.0,1,0,0.24564485229009242,Low,v1,2026-01-15 15:51:30.608590+00:00
+200000.0,34,-1,-1,2498.0,2670.0,2670.0,2996.0,0,0,0.10976720955240138,Low,v1,2026-01-15 15:51:30.608590+00:00
+210000.0,40,1,2,66635.0,56729.0,0.0,20012.0,0,0,0.3543125182929343,Low,v1,2026-01-15 15:51:30.608590+00:00
+200000.0,27,0,0,37076.0,18382.0,5000.0,18834.0,0,0,0.15597778797870582,Low,v1,2026-01-15 15:51:30.608590+00:00
+110000.0,50,0,0,110406.0,109550.0,4600.0,3348.0,0,0,0.2171487132570297,Low,v1,2026-01-15 15:51:30.608590+00:00
+70000.0,28,1,3,72605.0,70859.0,0.0,2800.0,0,0,0.4414207841462769,Low,v1,2026-01-15 15:51:36.355742+00:00
+80000.0,36,0,0,63908.0,55028.0,10051.0,5013.0,0,0,0.19338235750710556,Low,v1,2026-01-15 15:51:36.355742+00:00
+250000.0,40,1,2,16503.0,13894.0,0.0,1400.0,0,0,0.40768562028477007,Low,v1,2026-01-15 15:51:36.355742+00:00
+450000.0,31,-1,-1,5000.0,5000.0,5000.0,5000.0,0,0,0.08089980866783056,Low,v1,2026-01-15 15:51:36.355742+00:00
+180000.0,41,0,0,55193.0,48257.0,5000.0,6000.0,0,0,0.1969182144200703,Low,v1,2026-01-15 15:51:36.355742+00:00
+230000.0,29,-2,-2,20517.0,12883.0,12903.0,10880.0,0,0,0.039224249237748525,Low,v1,2026-01-15 15:51:45.467549+00:00
+70000.0,27,2,2,29193.0,30214.0,1800.0,1700.0,1,1,0.5653275444211394,Medium,v1,2026-01-15 15:51:45.467549+00:00
+50000.0,31,0,0,10682.0,11694.0,1194.0,1319.0,0,0,0.2359137208981777,Low,v1,2026-01-15 15:51:45.467549+00:00
+360000.0,39,1,-2,0.0,0.0,0.0,271.0,0,0,0.2491585371342461,Low,v1,2026-01-15 15:51:45.467549+00:00
+20000.0,34,0,0,2799.0,2164.0,2005.0,1200.0,0,0,0.24606298689051212,Low,v1,2026-01-15 15:51:53.283679+00:00
+50000.0,35,0,0,38536.0,39891.0,2000.0,2381.0,0,0,0.23163991480032464,Low,v1,2026-01-15 15:51:53.283679+00:00
+50000.0,44,0,0,47569.0,48768.0,1986.0,1452.0,0,0,0.24590820786835418,Low,v1,2026-01-15 15:51:53.283679+00:00
+160000.0,29,-1,-1,4908.0,0.0,0.0,0.0,0,0,0.11259928162167232,Low,v1,2026-01-15 15:51:53.283679+00:00
+180000.0,31,0,0,69502.0,69878.0,2500.0,3300.0,0,0,0.19190989283275076,Low,v1,2026-01-15 15:51:53.283679+00:00
+200000.0,28,-1,-1,1867.0,994.0,997.0,2064.0,1,0,0.10679115356889725,Low,v1,2026-01-15 15:52:01.243709+00:00
+50000.0,24,0,0,50140.0,15519.0,3000.0,5000.0,0,0,0.1815989125943115,Low,v1,2026-01-15 15:52:01.243709+00:00
+50000.0,26,0,0,6450.0,10744.0,4500.0,0.0,1,0,0.22558496990177493,Low,v1,2026-01-15 15:52:01.243709+00:00
+200000.0,54,-1,-1,22413.0,890.0,890.0,1649.0,0,0,0.12020731936223669,Low,v1,2026-01-15 15:52:01.243709+00:00
+190000.0,30,0,0,198098.0,194576.0,4515.0,15466.0,0,0,0.14120648461390956,Low,v1,2026-01-15 15:52:01.243709+00:00
+160000.0,46,0,0,116988.0,114956.0,4200.0,5555.0,0,0,0.19772199095478107,Low,v1,2026-01-15 15:52:05.298374+00:00
+90000.0,35,-1,0,5488.0,2380.0,1000.0,0.0,0,0,0.14448203915562885,Low,v1,2026-01-15 15:52:05.298374+00:00
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reports/evidently/drift_report.json

@@ -1,42 +1,649 @@
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