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fix sql transaction error in statistic API (#1586)

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waltcow 2023-11-22 14:28:21 +08:00 committed by GitHub
parent caa330c91f
commit 3c0fbf3a6a
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1 changed files with 53 additions and 60 deletions
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113
api/controllers/console/app/statistic.py
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@ -62,16 +62,15 @@ class DailyConversationStatistic(Resource):
sql_query += ' GROUP BY date order by date'
with db.engine.begin() as conn:
rs = conn.execute(db.text(sql_query), arg_dict)
response_data = []
for i in rs:
response_data.append({
'date': str(i.date),
'conversation_count': i.conversation_count
})
with db.engine.begin() as conn:
rs = conn.execute(db.text(sql_query), arg_dict)
for i in rs:
response_data.append({
'date': str(i.date),
'conversation_count': i.conversation_count
})
return jsonify({
'data': response_data
@ -124,16 +123,15 @@ class DailyTerminalsStatistic(Resource):
sql_query += ' GROUP BY date order by date'
with db.engine.begin() as conn:
rs = conn.execute(db.text(sql_query), arg_dict)
response_data = []
for i in rs:
response_data.append({
'date': str(i.date),
'terminal_count': i.terminal_count
})
with db.engine.begin() as conn:
rs = conn.execute(db.text(sql_query), arg_dict)
for i in rs:
response_data.append({
'date': str(i.date),
'terminal_count': i.terminal_count
})
return jsonify({
'data': response_data
@ -187,18 +185,17 @@ class DailyTokenCostStatistic(Resource):
sql_query += ' GROUP BY date order by date'
with db.engine.begin() as conn:
rs = conn.execute(db.text(sql_query), arg_dict)
response_data = []
for i in rs:
response_data.append({
'date': str(i.date),
'token_count': i.token_count,
'total_price': i.total_price,
'currency': 'USD'
})
with db.engine.begin() as conn:
rs = conn.execute(db.text(sql_query), arg_dict)
for i in rs:
response_data.append({
'date': str(i.date),
'token_count': i.token_count,
'total_price': i.total_price,
'currency': 'USD'
})
return jsonify({
'data': response_data
@ -256,16 +253,15 @@ LEFT JOIN conversations c on c.id=subquery.conversation_id
GROUP BY date
ORDER BY date"""
with db.engine.begin() as conn:
rs = conn.execute(db.text(sql_query), arg_dict)
response_data = []
for i in rs:
response_data.append({
'date': str(i.date),
'interactions': float(i.interactions.quantize(Decimal('0.01')))
})
with db.engine.begin() as conn:
rs = conn.execute(db.text(sql_query), arg_dict)
for i in rs:
response_data.append({
'date': str(i.date),
'interactions': float(i.interactions.quantize(Decimal('0.01')))
})
return jsonify({
'data': response_data
@ -320,20 +316,19 @@ class UserSatisfactionRateStatistic(Resource):
sql_query += ' GROUP BY date order by date'
with db.engine.begin() as conn:
rs = conn.execute(db.text(sql_query), arg_dict)
response_data = []
for i in rs:
response_data.append({
'date': str(i.date),
'rate': round((i.feedback_count * 1000 / i.message_count) if i.message_count > 0 else 0, 2),
})
with db.engine.begin() as conn:
rs = conn.execute(db.text(sql_query), arg_dict)
for i in rs:
response_data.append({
'date': str(i.date),
'rate': round((i.feedback_count * 1000 / i.message_count) if i.message_count > 0 else 0, 2),
})
return jsonify({
'data': response_data
})
'data': response_data
})
class AverageResponseTimeStatistic(Resource):
@ -383,16 +378,15 @@ class AverageResponseTimeStatistic(Resource):
sql_query += ' GROUP BY date order by date'
with db.engine.begin() as conn:
rs = conn.execute(db.text(sql_query), arg_dict)
response_data = []
for i in rs:
response_data.append({
'date': str(i.date),
'latency': round(i.latency * 1000, 4)
})
with db.engine.begin() as conn:
rs = conn.execute(db.text(sql_query), arg_dict)
for i in rs:
response_data.append({
'date': str(i.date),
'latency': round(i.latency * 1000, 4)
})
return jsonify({
'data': response_data
@ -447,16 +441,15 @@ WHERE app_id = :app_id'''
sql_query += ' GROUP BY date order by date'
with db.engine.begin() as conn:
rs = conn.execute(db.text(sql_query), arg_dict)
response_data = []
for i in rs:
response_data.append({
'date': str(i.date),
'tps': round(i.tokens_per_second, 4)
})
with db.engine.begin() as conn:
rs = conn.execute(db.text(sql_query), arg_dict)
for i in rs:
response_data.append({
'date': str(i.date),
'tps': round(i.tokens_per_second, 4)
})
return jsonify({
'data': response_data