Package: auto-group
Auto Grouping ToolsThis package comes with a set of helpful auto grouping tools.These tools solve a problem where you have M:N relations between two entities and need to join them together.  Their functionality is also helpful when working with SQL views.SELECTname,surname,job.nameasjob___nameFROMpersonJOINworksONworks.person_id=person.idjobONjob.id=works.job_idWHEREperson.id=2;For a single person, who has two jobs, DB might output something like this:namesurnamejob___nameJaneDoeAccountantJaneDoeDeveloperWhich might be OK when fetching only one person and his jobs. There are use cases, when you need to fetch more and more people. Output will be much larger. This is the place, where auto grouping tools come handy.auto_group_dictThis function groups dict keys with same prefix under one dict key. Groups used as group keys are identified by group separator___.person={"name":"Jane","surname":"Doe","job___name":"Accountant","job___established":2001}ret=auto_group_dict(person)# Returns inret={"name":"Jane","surname":"Doe","job":{"name":"Accountant","established":2001,}}auto_group_listIMPORTANT: All items which are inside lists are sorted exactly the same as they came from the DB.Let's say that we have want to retrieve a new person from our DB. Jane Doe now has two jobs: an accountant and a developer.Database returns two rows as specified above. But in object oriented world, it would be better for us to have it in one dict. This is whereauto_group_listcomes handy.SELECTperson.name,person.surname,job.nameasjobs__nameFROMpersonJOINworksONworks.person_id=person.idjobONjob.id=works.job_idWHEREperson.id=2;Assuming our SQL query returns 2 rows like this:rows=[{"name":"Jane","surname":"Doe","jobs__name":"Accountant",},{"name":"Jane","surname":"Doe","jobs__name":"Developer",}]ret=auto_group_list(rows)# Returns inret={"name":"Jane","surname":"Doe","jobs":[{"name":"Accountant"},{"name":"Developer"}]}This is kind of handy, isn't it? But what if we want to omit our WHERE statement? This is whereauto_group_list_by_pkeyscomes in place.auto_group_list_multiIs enhanced method based onauto_group_listfunctionality. It is best to group more lines of more persons as was mentioned in example above.
Lets imagine the situation you select two or more persons from database with their jobs:SELECTperson.name,person.surname,job.nameasjobs__nameFROMpersonJOINworksONworks.person_id=person.idjobONjob.id=works.job_idWHEREperson.idin(2,3)ORDERBYperson.id;Assuming our SQL query returns 4 rows like this:rows=[{"name":"Jane","surname":"Doe","jobs__name":"Accountant",},{"name":"Jane","surname":"Doe","jobs__name":"Developer",},{"name":"Jonh","surname":"Doesnt","jobs__name":"Store manager",},{"name":"John","surname":"Doesnt","jobs__name":"Destroyer",}]ret=auto_group_list_multi(rows)# Returns inret=[{"name":"Jane","surname":"Doe","jobs":[{"name":"Accountant"},{"name":"Developer"}],},{"name":"John","surname":"Doesnt","jobs":[{"name":"Store manager"},{"name":"Destoyer"}],}]How it works? It watchs column values of non-double underscored attributes. If values are changed it groups
previous values of double underscored keys into list.auto_group_list_by_pkeysNext and the last useful is handy when you want to for example fetch multiple people from DB, keep m..n relations and have everything grouped nicely. Like so:SELECTperson.idas_id,person.name,person.surname,job.nameasjobs__nameFROMpersonJOINworksONworks.person_id=person.idjobONjob.id=works.job_idWHEREperson.idIN(2,3);Our person no. 2 is Jane Doe, who works as an accountant and a developer. Person no. 3 is John Doe, works as an DevOps Engineer and a developer.Let's say our grouping key is_id.Our fetched data converted to python might look something like this:rows=[{"_id":2,"name":"Jane","surname":"Doe","jobs__name":"Accountant"},{"_id":2,"name":"Jane","surname":"Doe","jobs__name":"Developer"},{"_id":3,"name":"John","surname":"Doe","jobs__name":"DevOps Engineer"},{"_id":3,"name":"John","surname":"Doe","jobs__name":"Developer"}]Let's make it prettier!ret=auto_group_list_by_pkeys(("_id",),rows,use_auto_group_dict=True)# Returns dict with 2 items, grouped by key "_id"ret={"2":{"_id":2,"name":"Jane","surname":"Doe","jobs":[{"name":"Accountant"},{"name":"Developer"}]},"3":{"_id":3,"name":"John","surname":"Doe","jobs":[{"name":"DevOps Engineer"},{"name":"Developer"}]}}Now we have all our cases covered, ready to go.ToolsA few tool functions are avaliable in moduletools.
List of avaliable functions:dicts_into_list: Converts dict of dicts into list structure.sort_list_of_dicts: Sort list of dicts by selected column.dict_pass: Whitelist dictionary attributes.dict_filter: Blacklist dictionary attributes.list_into_dict: Converts list into dict where dict keys are list indexes.dict_swap: Swap dict keys into values and values into keys.map_dict_into_list: Maps dict keys into list positions based on keys_map defined in key map listchunk_list: Iterator which divides list into chunks with specified size