# Job Management

Tools and scripts to manage jobs.

# Run Jobs in Parallel

## Run Jobs in Parallel

Run multiple jobs simultaneously.

<p class="callout danger"><span class="pl-k">Some integrations may have rate or authorization limitations. Use with discretion, test that your PARALLEL value will not fail.  
</span></p>

### Usage:

- Edit runParallel.js : startDate &amp; endDate &amp; establishments const values
- Command: <span style="background-color: #ced4d9;">node cloud-pos-integrations/tools/runParallel.js</span>

<p class="callout success">Response:   
0: node cli.js omnivore 2023-04-05T10:00:00.000Z 2023-04-06T10:00:00.000Z 500  
1: node cli.js omnivore 2023-04-05T10:00:00.000Z 2023-04-06T10:00:00.000Z 502  
2: node cli.js omnivore 2023-04-05T10:00:00.000Z 2023-04-06T10:00:00.000Z 499  
3: node cli.js omnivore 2023-04-05T10:00:00.000Z 2023-04-06T10:00:00.000Z 503  
4: node cli.js omnivore 2023-04-05T10:00:00.000Z 2023-04-06T10:00:00.000Z 526</p>

# Retry Jobs

\*\*\*THIS NEEDS UPDATED

## Retry Jobs

You can retry (entirely re-pull the data from POS data source) a range of jobs, by passing the range to the server.js endpoint "retry\_job" in the URL as parameters.

<p class="callout danger">If a job with the same reference timestamp is requested, it will delete all DB relationships before re-running again.</p>

<p class="callout info">TODO: pass a param for delete upon duplicate job</p>

### Usage:

- Postman or by sending HTTPS Request. *(see BT API collection for existing request)*
- Command: <span style="background-color: #ced4d9;">node cloud-pos-integrations/server.js</span>
- DB Config: <span style="background-color: #ced4d9;">cloud-pos-integrations/server/config.js</span>

#### URL:

- Request - GET: <span style="background-color: #ced4d9;">localhost:4000/retry\_job/&lt;establishment\_id&gt;/&lt;range\_start&gt;/&lt;range\_end&gt;</span>
- Example:<span style="background-color: #ced4d9;"> localhost:4000/retry\_job/304/2022-05-01T10:00:00Z/2022-05-02T10:00:00Z</span>

<p class="callout success">Response: Should always look the same but based on each integration. It wraps around ***main.js***, so a successful result should include the same properties (line\_count, earliest\_sale\_at, etc).  
</p>

Response Reference:

```JavaScript
await Integration.process(establishment, start_date, end_date) 
```

Delete Actions:

```JavaScript
await client.query(`SELECT delete_integration_job(${jobId})`);<br></br>await client.query(`DELETE from pos_sku_events pse using pos_skus ps where pse.pos_sku_id = ps.id and ps.first_job_id = ${jobId};`);<br></br>await client.query(`DELETE FROM pos_skus WHERE (first_job_id IN (${jobId}));`);  <br></br>await client.query(`DELETE FROM pos_sales WHERE (integration_job_id IN (${jobId}));`);  <br></br>await client.query(`DELETE FROM matches WHERE (integration_job_id IN (${jobId}));`);<br></br>await client.query(`DELETE FROM integration_jobs WHERE (id IN (${jobId}))`);
```

[Github](https://github.com/BarTrack-Beer/cloud-pos-integration/blob/feature/toolkit/server.js "Github Source")

# Reprocess Job

## Reprocess Job

You can reprocess jobs only reprocessing existing data in S3 buckets. Also, you can provide a list of jobs in a JSON file containing one to one mapping of location to job ID.

<p class="callout info">Some integrations take a long time to process and can be daunting when you have a large amount of jobs to reprocess. We can split the job processing in part parts that run async with a final parameter of a number that signifies how many parts you'd like to split into.  
</p>

<p class="callout danger"><span class="pl-k">This process deletes all job related data except the job itself. It then resets the job before reprocessing. This will likely create unmapped SKUs. It does not remove the archived S3 data.  
</span></p>

### Usage:

- Postman or by sending HTTPS Request. *(see BT API collection for existing request)*
- Command: <span style="background-color: #ced4d9;">node cloud-pos-integrations/server.js</span>
- DB Config: <span style="background-color: #ced4d9;">cloud-pos-integrations/server/config.js</span>

<p class="callout info">If reprocessing more than one job, your JSON file should exist in the root of the server.js directory as **jobFile.json.** ***example:** { &lt;establishment\_id : &lt;job\_id&gt;, &lt;establishment\_id : &lt;job\_id&gt; }*</p>

#### URL:

- Request - GET: <span style="background-color: #ced4d9;">localhost:4000/reprocess/&lt;establishment\_id&gt;/&lt;range\_start&gt;/&lt;range\_end&gt;</span>
- Example:<span style="background-color: #ced4d9;"> localhost:4000/reprocess/123456</span>

<p class="callout success">Response: Should always look the same but based on each integration. It wraps around ***main.js***, so a successful result should include the same properties (line\_count, earliest\_sale\_at, etc).  
</p>

Response reference:

```JavaScript
await Integration.process(establishment, start_date, end_date) 
```

Delete actions:

```JavaScript
await client.query(`SELECT delete_integration_job_${integrationName}(${jobId})`);<br></br>await client.query(`DELETE from pos_sku_events pse using pos_skus ps where pse.pos_sku_id = ps.id and ps.first_job_id = ${jobId};`);<br></br>await client.query(`DELETE FROM pos_sales WHERE (integration_job_id IN (${jobId}));`);  <br></br>await client.query(`DELETE FROM matches WHERE (integration_job_id IN (${jobId}));`);<br></br>await client.query(`UPDATE integration_jobs SET status_code = 1, finished_at = null, earliest_sale_at = null, latest_sale_at = null, line_count = null WHERE id = ${jobId};`);
```

[Github](https://github.com/BarTrack-Beer/cloud-pos-integration/blob/feature/toolkit/server.js "Github Source")

# Weekly Jobs Spreadsheet

#### Description

Use this query to create a raw result from your SQL client, that you can copy directly to a spreadsheet. You must be sure to include the headers in your copy.

##### SQL Query

```SQL
WITH d AS (<br></br>  SELECT e.name name, e.id, i.display_name integration_name, jsonb_object_agg(gs.token, x.jobs) "jobs"<br></br>  FROM establishments e<br></br>  JOIN (<br></br>    SELECT ARRAY['Monxxx'] "closed_days"<br></br>  ) s ON (true)<br></br>  JOIN (<br></br>    SELECT to_char(gs, 'yyyy/mm/dd Dy') "token", to_char(gs, 'Dy') "dow", gs "ts"<br></br>    FROM generate_series(date_trunc('day', ${start}$), date_trunc('day', ${start}$ + (${days}$ - 1)*86400::text::interval), '1 day'::interval) gs <br></br>  ) gs ON (true)<br></br>  LEFT JOIN (<br></br>    SELECT DISTINCT ij.establishment_id, to_char(ij.reference_timestamp, 'yyyy/mm/dd Dy') "token", jsonb_agg(DISTINCT ij.id ORDER BY ij.id) jobs<br></br>    FROM integration_jobs ij <br></br>    JOIN report_configurations r ON (r.establishment_id = ij.establishment_id)<br></br>    GROUP BY 1, 2<br></br>  ) j ON (j.establishment_id = e.id AND j.token = gs.token)<br></br>  LEFT JOIN integrations i ON i.id = e.integration_id<br></br>  JOIN LATERAL (<br></br>    SELECT CASE WHEN j.jobs IS NULL AND gs.dow != ALL(s.closed_days) AND gs.ts < NOW() - '1 day'::interval THEN '[]'::jsonb ELSE j.jobs END "jobs"<br></br>  ) x ON (true)<br></br>  WHERE e.archived = false AND e.id IN (${report_delivery_ids}$)<br></br>  GROUP BY 2, 3, e.name<br></br>),<br></br>h AS ( <br></br>  SELECT -1 "sort", 'id' || E'\t' || 'name' || E'\t' || 'integration_name' || E'\t' || string_agg(h.field, E'\t') "line"<br></br>  FROM ( SELECT jsonb_object_keys(d.jobs) "field" FROM (SELECT * FROM d LIMIT 1) d ) h<br></br>),<br></br>b AS (<br></br>  SELECT d.id, d.id::text || E'\t' || d.name || E'\t' || d.integration_name || E'\t' || string_agg(b.value, E'\t')<br></br>  FROM d, LATERAL ( SELECT COALESCE(value, ' ') "value" FROM jsonb_each_text(d.jobs) ) b<br></br>  GROUP BY d.id, d.name, d.integration_name<br></br>  ORDER BY d.id<br></br>)<br></br>SELECT string_agg(t.line, E'\n' ORDER BY t.sort) "copy_and_paste_me"<br></br>FROM ( SELECT * FROM h UNION SELECT * FROM b ) t;
```

##### Vars

Use these three vars, or adjust to your needs. Report delivery IDs are all the establishments you want to see in the report.

```
start: timestamp'2023-05-29'::timestamp without time zone<br></br>range of days: 7<br></br>report_delivery_ids:<br></br>10,53,65,72,73,74,75,76,79,81,83,85,86,87,88,89,94,95,96,97,98,99,104,111,113,114,115,116,117,118,119,123,125,126,127,129,130,131,134,135,137,138,139,140,141,143,144,146,147,149,150,154,167,168,171,175,177,178,182,188,189,197,198,205,206,207,210,211,212,213,214,215,217,218,219,220,222,224,227,228,238,240,241,242,243,245,246,247,248,249,254,255,256,258,260,261,263,264,265,267,268,269,271,274,275,279,280,281,282,284,286,288,290,291,292,293,296,298,299,301,304,305,306,308,310,311,321,323,325,326,327,329,330,331,333,337,338,339,342,343,345,346,348,349,350,351,352,353,354,355,358,359,360,361,363,364,365,366,367,368,369,370,371,376,377,381,383,384,385,389,390,391,392,395,396,397,401,402,403,430,434,435,437,441,442,443,447,448,449,450,451,452,453,454,458,459,460,480,481,482,484,485,490,493,494,495,496,497,498,499,500,501,502,503,504,505,506,507,508,513,514,515,518,520,521,523,524,525,526,527,528,530,531,533,534,535,538,542,545
```