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24 rows where repo = 197882382 sorted by updated_at descending
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id | node_id | number | title | user | state | locked | assignee | milestone | comments | created_at | updated_at ▲ | closed_at | author_association | pull_request | body | repo | type | active_lock_reason | performed_via_github_app | reactions | draft | state_reason |
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836064851 | MDExOlB1bGxSZXF1ZXN0NTk2NjI3Nzgw | 18 | Add datetime parsing | n8henrie 1234956 | open | 0 | 0 | 2021-03-19T14:34:22Z | 2021-03-19T14:34:22Z | FIRST_TIME_CONTRIBUTOR | dogsheep/healthkit-to-sqlite/pulls/18 | Parses the datetime columns so they are subsequently properly recognized as datetime. Fixes https://github.com/dogsheep/healthkit-to-sqlite/issues/17 |
healthkit-to-sqlite 197882382 | pull | { "url": "https://api.github.com/repos/dogsheep/healthkit-to-sqlite/issues/18/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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836063389 | MDU6SXNzdWU4MzYwNjMzODk= | 17 | Datetime columns are not properly formatted to be recognizes as datetime | n8henrie 1234956 | open | 0 | 0 | 2021-03-19T14:33:04Z | 2021-03-19T14:33:04Z | NONE | Currently, the datetimes are formatted in a way that is not recognized by datasette-vega for plotting with a For example, if you have datasette running locally with
The plot is blank unless you choose The If instead the format for this column is changed slightly: I have a PR that addresses this issue, will submit shortly. |
healthkit-to-sqlite 197882382 | issue | { "url": "https://api.github.com/repos/dogsheep/healthkit-to-sqlite/issues/17/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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830901133 | MDExOlB1bGxSZXF1ZXN0NTkyMzY0MjU1 | 16 | Add a fallback ID, print if no ID found | n8henrie 1234956 | open | 0 | 0 | 2021-03-13T13:38:29Z | 2021-03-13T14:44:04Z | FIRST_TIME_CONTRIBUTOR | dogsheep/healthkit-to-sqlite/pulls/16 | healthkit-to-sqlite 197882382 | pull | { "url": "https://api.github.com/repos/dogsheep/healthkit-to-sqlite/issues/16/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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793907673 | MDExOlB1bGxSZXF1ZXN0NTYxNTEyNTAz | 15 | added try / except to write_records | ryancheley 9857779 | open | 0 | 0 | 2021-01-26T03:56:21Z | 2021-01-26T03:56:21Z | FIRST_TIME_CONTRIBUTOR | dogsheep/healthkit-to-sqlite/pulls/15 | to keep the data write from failing if it came across an error during processing. In particular when trying to convert my HealthKit zip file (and that of my wife's) it would consistently error out with the following: ``` db.py 1709 insert_chunk result = self.db.execute(query, params) db.py 226 execute return self.conn.execute(sql, parameters) sqlite3.OperationalError: too many SQL variables db.py 1709 insert_chunk result = self.db.execute(query, params) db.py 226 execute return self.conn.execute(sql, parameters) sqlite3.OperationalError: too many SQL variables db.py 1709 insert_chunk result = self.db.execute(query, params) db.py 226 execute return self.conn.execute(sql, parameters) sqlite3.OperationalError: table rBodyMass has no column named metadata_HKWasUserEntered healthkit-to-sqlite 8 <module> sys.exit(cli()) core.py 829 call return self.main(args, *kwargs) core.py 782 main rv = self.invoke(ctx) core.py 1066 invoke return ctx.invoke(self.callback, **ctx.params) core.py 610 invoke return callback(args, *kwargs) cli.py 57 cli convert_xml_to_sqlite(fp, db, progress_callback=bar.update, zipfile=zf) utils.py 42 convert_xml_to_sqlite write_records(records, db) utils.py 143 write_records db[table].insert_all( db.py 1899 insert_all self.insert_chunk( db.py 1720 insert_chunk self.insert_chunk( db.py 1720 insert_chunk self.insert_chunk( db.py 1714 insert_chunk result = self.db.execute(query, params) db.py 226 execute return self.conn.execute(sql, parameters) sqlite3.OperationalError: table rBodyMass has no column named metadata_HKWasUserEntered ``` Adding the try / except in the |
healthkit-to-sqlite 197882382 | pull | { "url": "https://api.github.com/repos/dogsheep/healthkit-to-sqlite/issues/15/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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723838331 | MDU6SXNzdWU3MjM4MzgzMzE= | 11 | export.xml file name varies with different language settings | jarib 572 | closed | 0 | 7 | 2020-10-17T20:07:18Z | 2020-10-17T21:39:15Z | 2020-10-17T21:14:10Z | NONE | The XML file exported from my phone has a Norwegian file name – I can work around this by unpacking the zip and using Perhaps this could be solved by |
healthkit-to-sqlite 197882382 | issue | { "url": "https://api.github.com/repos/dogsheep/healthkit-to-sqlite/issues/11/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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519038979 | MDU6SXNzdWU1MTkwMzg5Nzk= | 10 | Failed to import workout points | simonw 9599 | closed | 0 | 4 | 2019-11-07T04:50:22Z | 2019-11-08T01:18:37Z | 2019-11-08T01:18:37Z | MEMBER | I just ran the script and it failed to import any |
healthkit-to-sqlite 197882382 | issue | { "url": "https://api.github.com/repos/dogsheep/healthkit-to-sqlite/issues/10/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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472429048 | MDU6SXNzdWU0NzI0MjkwNDg= | 9 | Too many SQL variables | tholo 166463 | closed | 0 | 4 | 2019-07-24T18:24:17Z | 2019-07-26T10:01:05Z | 2019-07-26T10:01:05Z | NONE | Decided to try importing my data, and ran into this:
Added some debug output in sqlite_utils/db.py, which resulted in:
with the attached data:
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healthkit-to-sqlite 197882382 | issue | { "url": "https://api.github.com/repos/dogsheep/healthkit-to-sqlite/issues/9/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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472097220 | MDU6SXNzdWU0NzIwOTcyMjA= | 7 | Script uses a lot of RAM | simonw 9599 | closed | 0 | 3 | 2019-07-24T06:11:11Z | 2019-07-24T06:35:52Z | 2019-07-24T06:35:52Z | MEMBER | I'm using an XML pull parser which should avoid the need to slurp the whole XML file into memory, but it's not working - the script still uses over 1GB of RAM when it runs according to Activity Monitor. I think this is because I'm still causing the full root element to be incrementally loaded into memory just in case I try and access it later. http://effbot.org/elementtree/iterparse.htm says I should use
So I will try that recipe and see if it helps. |
healthkit-to-sqlite 197882382 | issue | { "url": "https://api.github.com/repos/dogsheep/healthkit-to-sqlite/issues/7/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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472104705 | MDExOlB1bGxSZXF1ZXN0MzAwNTgwMjIx | 8 | Use less RAM | simonw 9599 | closed | 0 | 0 | 2019-07-24T06:35:01Z | 2019-07-24T06:35:52Z | 2019-07-24T06:35:52Z | MEMBER | dogsheep/healthkit-to-sqlite/pulls/8 | Closes #7 |
healthkit-to-sqlite 197882382 | pull | { "url": "https://api.github.com/repos/dogsheep/healthkit-to-sqlite/issues/8/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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470691622 | MDU6SXNzdWU0NzA2OTE2MjI= | 5 | Add progress bar | simonw 9599 | closed | 0 | 2 | 2019-07-20T16:29:07Z | 2019-07-22T03:30:13Z | 2019-07-22T02:49:22Z | MEMBER | Showing a progress bar would be nice, using Click. The easiest way to do this would probably be be to hook it up to the length of the compressed content, and update it as this code pushes more XML bytes through the parser: |
healthkit-to-sqlite 197882382 | issue | { "url": "https://api.github.com/repos/dogsheep/healthkit-to-sqlite/issues/5/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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470856782 | MDU6SXNzdWU0NzA4NTY3ODI= | 6 | Break up records into different tables for each type | simonw 9599 | closed | 0 | 1 | 2019-07-22T01:54:59Z | 2019-07-22T03:28:55Z | 2019-07-22T03:28:50Z | MEMBER | I don't think there's much benefit to having all of the different record types stored in the same enormous table. Here's what I get when I use I'm going to try splitting these up into separate tables - so |
healthkit-to-sqlite 197882382 | issue | { "url": "https://api.github.com/repos/dogsheep/healthkit-to-sqlite/issues/6/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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470637152 | MDU6SXNzdWU0NzA2MzcxNTI= | 2 | Import workouts | simonw 9599 | closed | 0 | 1 | 2019-07-20T05:20:21Z | 2019-07-20T06:21:41Z | 2019-07-20T06:21:41Z | MEMBER | From #1 |
healthkit-to-sqlite 197882382 | issue | { "url": "https://api.github.com/repos/dogsheep/healthkit-to-sqlite/issues/2/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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470640505 | MDU6SXNzdWU0NzA2NDA1MDU= | 4 | Import Records | simonw 9599 | closed | 0 | 1 | 2019-07-20T06:11:20Z | 2019-07-20T06:21:41Z | 2019-07-20T06:21:41Z | MEMBER | From #1:
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healthkit-to-sqlite 197882382 | issue | { "url": "https://api.github.com/repos/dogsheep/healthkit-to-sqlite/issues/4/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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470637206 | MDU6SXNzdWU0NzA2MzcyMDY= | 3 | Import ActivitySummary | simonw 9599 | closed | 0 | 0 | 2019-07-20T05:21:00Z | 2019-07-20T05:58:07Z | 2019-07-20T05:58:07Z | MEMBER | From #1
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healthkit-to-sqlite 197882382 | issue | { "url": "https://api.github.com/repos/dogsheep/healthkit-to-sqlite/issues/3/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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470637068 | MDU6SXNzdWU0NzA2MzcwNjg= | 1 | Use XML Analyser to figure out the structure of the export XML | simonw 9599 | closed | 0 | 1 | 2019-07-20T05:19:02Z | 2019-07-20T05:20:09Z | 2019-07-20T05:20:09Z | MEMBER | healthkit-to-sqlite 197882382 | issue | { "url": "https://api.github.com/repos/dogsheep/healthkit-to-sqlite/issues/1/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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