Comments (2)
have done further work on this in the latest PR #59 though we still need some kind of method to further narrow down a person once we've narrowed down the list of possible persons to just locals. any ideas on this @sirredbeard?
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If we get an age from Pipl we can rule out people 18 and under.
I don't think we can for this project, because this is a scattershot approach.
In the next iteration of this project, where I think we will track and have different packets go out based on the type of case filed and the zip code, then maybe we can do more filtering.
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Related Issues (20)
- Error binding parameter :defendant_email HOT 2
- When a Pipl match is not found, need to move case from POSSIBLE_CASES to REJECTED_CASES
- When a letter is sent, need to move from MATCHED_CASES to PROCESSED_CASES
- AttributeError: 'Address' object has no attribute 'apt' HOT 1
- TypeError: %i format: a number is required, not datetime.datetime
- Implement two-step PiPl e-mail collection HOT 2
- Investigate Facebook options HOT 4
- Finish logging implementation HOT 6
- More graceful failures
- Implement sending e-mail (after #34 is implemented)
- Move matched cases without addresses to REJECTED_CASE
- database.py: name db_move_to_incomplete_pipl is not defined HOT 1
- api_interfaces: sometimes pipl requests get stuck > 15minutes with no response HOT 4
- Investigate error and possible remediation HOT 8
- Add note when there are no jobs to process HOT 6
- Remove leading 0 from address printed in Date Filed HOT 1
- Investigate pipl error and remediation HOT 1
- Reminder: past issues (etc) may have personal information from tracebacks, screenshots etc HOT 1
- Handle certain classes of names HOT 4
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