complete script

.gitignore

@@ -1,2 +1,3 @@
 heartbeats.json
+*.db
 

docker-compose.yml

@@ -0,0 +1,11 @@
+services:
+  wakapi:
+    container_name: wakapi-test-instance
+    image: ghcr.io/muety/wakapi:latest
+    init: true
+    ports:
+      - 3000:3000
+    restart: unless-stopped
+    volumes:
+      - ./data/:/data # bind mount, no need to add named vol
+

docker.sh

@@ -1,10 +0,0 @@
-#!/bin/bash
-
-docker run -d \
-	--name wakapi \
-	-p 3000:3000 \
-	-e "WAKAPI_PORT=3000" \
-	-e "WAKAPI_DB_TYPE=sqlite3" \
-	-e "WAKAPI_DB_PATH=/app/data/wakapi.db" \
-	-v wakapi-data:/app/data \
-	n1try/wakapi

wakapi_import.py

@@ -1,29 +1,105 @@
 import json
+import sqlite3
+import time
+from datetime import datetime
 
-# def parse_individual_heartbeat(heartbeat):
-#     processed_heartbeat = {
-#         "id": heartbeat.get("id", ""),
-#         "branch": heartbeat.get("branch", null),
-#     }
+from rich.progress import track
 
 
+def upload_heartbeat(heartbeat):
+    conn = sqlite3.connect("./data/wakapi.db")
+    cursor = conn.cursor()
+    cursor.execute(
+        "INSERT INTO heartbeats (user_id, entity, type, category, project, branch, language, is_write, editor, operating_system, machine, user_agent, time, hash, origin, origin_id, created_at, lines, line_no, cursor_pos, line_deletions, line_additions, project_root_count) VALUES (:user_id, :entity, :type, :category, :project, :branch, :language, :is_write, :editor, :operating_system, :machine, :user_agent, :time, :hash, :origin, :origin_id, :created_at, :lines, :line_no, :cursor_pos, :line_deletions, :line_additions, :project_root_count)",
+        heartbeat,
+    )
+    conn.commit()
+    conn.close()
+
+
+def convert_utc(timestamp):
+    dt = datetime.strptime(timestamp, "%Y-%m-%dT%H:%M:%SZ")
+    return dt.strftime("%Y-%m-%d %H:%M:%S.%f")[:-4] + "+00:00"
+
+
+def convert_unix_time(unix_stamp):
+    dt = datetime.fromtimestamp(unix_stamp)
+    formatted_date = dt.strftime("%Y-%m-%d %H:%M:%S%z")
+    return f"{formatted_date}+00:00"
+
+
+def map_json_heartbeat(heartbeat):
+    mapped = {
+        "user_id": "thomasabishop",
+        "entity": heartbeat.get("entity", "no entity"),
+        "type": heartbeat.get("type", None),
+        "category": heartbeat.get("category", None),
+        "project": heartbeat.get("project", None),
+        "branch": heartbeat.get("branch", "not-available"),
+        "language": heartbeat.get("language", None),
+        "is_write": heartbeat.get("is_write", None),
+        "editor": heartbeat.get("editor", "not-known"),
+        "operating_system": heartbeat.get("operating_system", "not-known"),
+        "machine": heartbeat.get("machine", "not-known"),
+        "user_agent": heartbeat.get("user_agent", None),
+        "time": convert_unix_time(heartbeat.get("time", 0)),
+        "hash": heartbeat.get("hash", None),
+        "origin": heartbeat.get("origin", None),
+        "origin_id": heartbeat.get("origin_id", None),
+        "created_at": convert_utc(heartbeat.get("created_at", 0)),
+        "lines": heartbeat.get("lines", 0),
+        "line_no": heartbeat.get("line_no", 0),
+        "cursor_pos": heartbeat.get("cursor_pos", 0),
+        "line_deletions": heartbeat.get("line_deletions", 0),
+        "line_additions": heartbeat.get("line_additions", 0),
+        "project_root_count": heartbeat.get("project_root_count", 0),
+    }
+    return mapped
+
+
+deadletter = []
+print("----")
+print("INFO Collating heartbeats data...")
+
 f = open("heartbeats.json")
 data = json.load(f)
-
 days = data["days"]
-first_day = days[0]["heartbeats"]
-sample_heartbeat = days[0]["heartbeats"][0]
-formatted = json.dumps(sample_heartbeat, indent=4)
+total_days = len(days)
 
-test_batch = first_day[:10]
-dead_letter = []
-print(len(test_batch))
+print(f"INFO Total days = {total_days}")
+print("----")
 
+for i in range(0, total_days):
+    day_count = i + 1
+    print("----")
+    print(f"INFO Processing day {day_count} ")
+    hbeats = days[i]["heartbeats"]
+    hbeats_count = len(days[i]["heartbeats"])
+    print(f"INFO Day {day_count} has {hbeats_count} heartbeats")
+    if hbeats_count == 0:
+        print("INFO Nothing to upload")
+    else:
+        for j in track(
+            range(0, hbeats_count),
+            description=f"INFO Uploading Day {day_count} heartbeats...",
+        ):
+            try:
+                mapped_hb = map_json_heartbeat(hbeats[j])
+                upload_heartbeat(mapped_hb)
+            except sqlite3.Error as e:
+                print(
+                    "ERROR Heartbeat could not be uploaded. Sending to dead letter..."
+                )
+                deadletter.append(
+                    {"sqlite_error_code": e.sqlite_errorname, "heartbeat": hbeats[j]}
+                )
+            continue
+    print("----")
 
-# for hb in first_day:
+time.sleep(0.25)
 
-
-print(formatted)
-
-
-f.close()
+if len(deadletter):
+    print("----")
+    print("INFO Some heartbeats could not be uploaded")
+    for dl in deadletter:
+        print(json.dumps(dl))