From 9340177974818e439074a8b84d03bd77aa6e9de6 Mon Sep 17 00:00:00 2001 From: "Onyekachi (Osisiogu) Emenike" Date: Mon, 19 Aug 2024 17:19:53 +0200 Subject: [PATCH] fix monitoring --- models/DecisionTreeRegressor.pkl | Bin 0 -> 1912933 bytes models/LinearRegression.pkl | Bin 0 -> 796 bytes monitoring/create_monitoring_datasets.py | 15 ++++++++++ monitoring/evidently_metrics_calculations.py | 28 +++++++++++++------ 4 files changed, 34 insertions(+), 9 deletions(-) create mode 100644 models/DecisionTreeRegressor.pkl create mode 100644 models/LinearRegression.pkl create mode 100644 monitoring/create_monitoring_datasets.py diff --git a/models/DecisionTreeRegressor.pkl b/models/DecisionTreeRegressor.pkl new file mode 100644 index 0000000000000000000000000000000000000000..58ebcbba156cfd1dbac327825b1ce71f5b35c6d0 GIT binary patch literal 1912933 zcmeEv2Xs`$_x}T;AVnfgI-wT8i75%m{DHJ3C1%c;6_=baZcIXQGJj@Ck(o(TCZ_PerY(sWn=msa zZOJuL<7ST;mync_nAUg6byFu!8#6O*YSNU1nPbGGX}t?BiKO3hmBy#_F0iD$_2q2| 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b/monitoring/evidently_metrics_calculations.py index 22f6c4f..ee651ca 100644 --- a/monitoring/evidently_metrics_calculations.py +++ b/monitoring/evidently_metrics_calculations.py @@ -23,8 +23,7 @@ rand = random.Random() create_table_statement = """ -DROP TABLE IF EXISTS dummy_metrics; -CREATE TABLE dummy_metrics( +CREATE TABLE IF NOT EXISTS dummy_metrics ( timestamp TIMESTAMP, prediction_drift FLOAT, num_drifted_columns INTEGER, @@ -32,11 +31,12 @@ ) """ -reference_data = pd.read_csv("../data/reference.csv") -with open("../models/dec_tre.bin", "rb") as f_in: +# Update the file path to the new location +reference_data = pd.read_csv("../project-mlops/data/reference.csv") +with open("../project-mlops/models/DecisionTreeRegressor.pkl", "rb") as f_in: model = joblib.load(f_in) -raw_data = pd.read_csv("../data/hour.csv") +raw_data = pd.read_csv("../project-mlops/data/hour.csv") features = [ "season", @@ -70,15 +70,24 @@ def prep_db(): with psycopg.connect( "host=localhost port=5432 user=postgres password=example", autocommit=True ) as conn: + # Check if the database exists res = conn.execute("SELECT 1 FROM pg_database WHERE datname='test'") if not res.fetchall(): + logging.info("Database 'test' not found. Creating database.") conn.execute("CREATE DATABASE test;") + else: + logging.info("Database 'test' already exists.") + + # Connect to the database and create the table with psycopg.connect( "host=localhost port=5432 dbname=test user=postgres password=example" ) as conn: conn.execute(create_table_statement) + logging.info("Table 'dummy_metrics' is ready.") + except psycopg.OperationalError as e: + logging.error("OperationalError: %s", str(e)) except Exception as e: - logging.error("Error preparing the database: %s", {e}) + logging.error("Error preparing the database: %s", str(e)) @task @@ -112,8 +121,9 @@ def calculate_metrics_postgresql(curr): share_missing_values, ), ) + logging.info("Metrics inserted into database.") except Exception as e: - logging.error("Error calculating metrics: %s", {e}) + logging.error("Error calculating metrics: %s", str(e)) @flow @@ -134,9 +144,9 @@ def batch_monitoring_backfill(): if seconds_elapsed < SEND_TIMEOUT: time.sleep(SEND_TIMEOUT - seconds_elapsed) last_send += datetime.timedelta(seconds=10) - logging.info("Data sent") + logging.info("Data sent. Waiting for the next iteration.") except Exception as e: - logging.error("Error in batch monitoring: %s", e) + logging.error("Error in batch monitoring: %s", str(e)) if __name__ == "__main__":