Create make_network_dirs_main.py

[Ryan2Y79]

Pull Request submission

The current make_dirs_main.py is used to make directories within S3 buckets for CDP, and not for local network drives. I have created a duplicate version of make_dirs_main.py, and refactored the script to create directories within the R: drive, and to meet the requirements of the task ticket.

Closes or fixes

• Detail the ticket(s) you are closing with this PR
  Closes #

Code

• Code runs The code runs on my machine and/or CDSW
• Conflicts resolved There are no conflicts (I have performed a rebase if necessary)
• Requirements My/our code functions according to the requirements of the ticket
• Dependencies I have updated the environment yaml so it includes any new libraries I have used
• Configuration file updated any high level parameters that the user may interact with have been put into the config file (and imported to the script)
• Clean Code
  • Code is as PEP 8 compliant as I can humanly make it
  • Code passess flake8 linting check
  • Code adheres to DRY
• Type hints All new functions have type hints

Documentation

Any new code includes all the following forms of documentation:

• Function Documentation Docstrings within the function(s')/methods have been created
  • Includes Args and returns for all major functions
  • The docstring details data types
• Updated Documentation: User and/or developer working doc has been updated

Data

• All data needed to run this script is available in Dev/Test
• All data is excluded from this pull request
• Secrets checker pre-commit passes

Testing

• Unit tests Unit tests have been created and are passing or a new ticket to create tests has been created

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Peer Review Section

• All requirements install from (updated) requirements.txt
• Documentation has been created and is clear - check the working document
• Doctrings (Google format) have been created and accurately describe the function's functionality
• Unit tests pass, or if not present a new ticket to create tests has been created
• Code runs The code runs on reviewer's machine and/or CDSW

Final approval (post-review)

The author has responded to my review and made changes to my satisfaction.

• I recommend merging this request.

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Review comments

Insert detailed comments here!

These might include, but not exclusively:

• bugs that need fixing (does it work as expected? and does it work with other code
  that it is likely to interact with?)
• alternative methods (could it be written more efficiently or with more clarity?)
• documentation improvements (does the documentation reflect how the code actually works?)
• additional tests that should be implemented (do the tests effectively assure that it
  works correctly?)
• code style improvements (could the code be written more clearly?)
• Do the changes represent a change in functionality so the version number should increase? Start a discussion if so.
• As a review you can generates the same outputs from running the code

Your suggestions should be tailored to the code that you are reviewing.
Be critical and clear, but not mean. Ask questions and set actions.

[github-actions]

Detailed Coverage Report

File	Stmts	Miss	Cover	Missing
src
__init__.py	0	0	100%
src/aggregation
__init__.py	0	0	100%
aggregation_main.py	0	0	100%
src/construction
__init__.py	0	0	100%
all_data_construction.py	48	48	0%	1–2, 4–5, 7, 9, 17, 23, 46–47, 50, 55–56, 60–62, 66–67, 70, 77–79, 84, 87–91, 93, 98–99, 104–105, 108–110, 114, 118–121, 126–127, 129, 134–135, 139, 141
construction_helpers.py	104	14	86%	31–42, 237, 304
construction_main.py	27	27	0%	2–3, 5, 7, 11–12, 15, 18, 54–57, 64, 68–71, 74, 78–81, 84, 89–91, 93
construction_read_validate.py	34	34	0%	2–3, 5, 8, 11, 16, 18, 21, 46–49, 51–52, 55–56, 59, 66–68, 72–73, 79, 82, 101–103, 105–106, 109, 116–117, 122, 129
construction_validation.py	102	9	91%	83, 86, 113, 121–122, 127, 138, 168, 218
postcode_construction.py	21	21	0%	1–2, 4–6, 9, 26, 29, 32, 37, 40–41, 44, 47–49, 51, 55, 59, 62–63
src/estimation
__init__.py	0	0	100%
apply_weights.py	18	2	88%	44–45
calculate_weights.py	52	0	100%
estimation_main.py	24	24	0%	2–5, 7–8, 10, 13, 32, 38, 41, 44–45, 47–56, 58
src/freezing
__init__.py	0	0	100%
freezing_apply_changes.py	73	21	71%	36–39, 42–43, 46–48, 51–54, 58, 66–69, 73–74, 76
freezing_compare.py	72	24	66%	111–112, 160–161, 187, 190–192, 195–197, 201–203, 205–207, 209–210, 242, 267, 270, 273, 276
freezing_main.py	49	49	0%	1–4, 6, 8–12, 15, 18, 44, 47, 50–51, 53–57, 59, 68, 71–73, 76–77, 81–83, 88–89, 91–92, 95–98, 101, 105, 108, 119–122, 124–126
freezing_utils.py	11	0	100%
src/imputation
MoR.py	141	5	96%	45–46, 94, 313, 463
__init__.py	0	0	100%
apportionment.py	36	10	72%	124, 126, 141, 143, 145, 157–159, 162, 164
expansion_imputation.py	37	30	18%	23–24, 26–27, 30, 33–35, 39, 42, 44, 47–48, 50, 53, 56, 76–78, 82, 85, 88, 91, 97, 102, 105, 107, 113, 116, 120
imputation_helpers.py	120	51	57%	39, 52–55, 58–59, 61–62, 64–65, 67–68, 70–71, 73–74, 76–77, 79, 88, 90–91, 93–94, 263, 265–266, 270–271, 273, 277, 298, 301, 305, 308–309, 311, 396, 398–399, 402, 414–415, 417, 419, 435–436, 439–440, 442
imputation_main.py	75	75	0%	2–6, 8–17, 20, 23, 57, 60, 64–66, 69–70, 73–74, 77, 79, 84, 87–88, 91, 94–95, 98, 100, 103, 106, 110–111, 113, 117–118, 121, 124–126, 128, 132, 135–136, 138–142, 145–146, 151–153, 155–159, 162, 165, 168–173, 175
impute_civ_def.py	98	47	52%	164, 167, 197, 199–200, 203–204, 207–209, 214–215, 217, 220, 222–225, 227, 229, 234–235, 237, 240, 242–244, 247, 249–250, 252–253, 255–256, 269, 272–276, 278–279, 282–283, 285–286, 288
manual_imputation.py	19	19	0%	1–2, 4, 6, 9–10, 28–29, 33, 35, 37, 44, 59, 61–62, 64–65, 67–68
sf_expansion.py	74	61	17%	24, 27, 30–31, 34–35, 38, 41, 44–45, 48, 50, 57–58, 61, 66–67, 70, 72, 75–76, 78, 80, 83, 87, 89, 100, 103, 107, 109–110, 112, 114, 117, 120, 129, 132, 135, 144, 147, 149, 155, 161, 173, 176, 181–182, 184, 192–193, 196, 200, 204, 207, 215, 220–221, 224, 226, 230, 232
short_to_long.py	21	21	0%	1, 3–4, 7, 20, 23, 25, 32–33, 35, 37–38, 40–41, 43–45, 47, 49, 53, 55
tmi_imputation.py	191	125	34%	105, 107, 113–115, 119, 125, 128, 130, 135, 140, 145, 266, 269, 271, 274, 278, 282, 304–305, 308, 311–312, 315, 318–319, 322, 324–325, 327, 329, 332–333, 335, 337, 340, 343–344, 346, 349–351, 353–356, 358, 374, 376, 383, 385–386, 388–389, 391, 393, 395, 397, 400, 403–404, 407, 409, 411, 429–430, 432, 434–435, 437–439, 441–442, 445, 447–448, 451, 453–454, 472, 474, 477–479, 481, 483–484, 486–487, 490, 492–493, 496, 498, 500–501, 521, 525, 528–529, 532–533, 536, 539, 541, 546, 548, 553, 555, 562–563, 568, 573–574, 576, 579–580, 582, 585, 587, 589, 594, 596–597
src/mapping
__init__.py	0	0	100%
cellno_mapping.py	17	4	76%	49–51, 53
itl_mapping.py	10	0	100%
mapping_helpers.py	55	5	90%	24–27, 69
mapping_main.py	47	47	0%	2–5, 7–13, 15, 18, 45, 50, 59, 68, 75, 78, 85, 88–90, 97, 99, 102, 104–106, 109, 112, 117–118, 121–123, 125–127, 130–131, 133–135, 138, 141, 144
pg_conversion.py	40	8	80%	52, 55, 58, 122, 125, 128, 162–163
ultfoc_mapping.py	34	4	88%	49–51, 95
src/northern_ireland
__init__.py	0	0	100%
ni_headcount_fte.py	29	29	0%	2–4, 6, 8, 11, 25, 27, 29, 31, 33, 35, 37, 40, 55, 57–59, 61, 63–64, 66–67, 69, 72, 81, 83–84, 86
ni_main.py	17	17	0%	3–8, 10, 13, 35–36, 44–46, 54, 56–57, 59
ni_staging.py	35	35	0%	3–7, 9, 11, 14, 22, 25, 27–29, 31, 34, 40, 44, 46, 49, 80–81, 84, 89, 93, 96, 99–104, 107–108, 110, 112
src/outlier_detection
__init__.py	0	0	100%
auto_outliers.py	81	0	100%
manual_outliers.py	16	0	100%
outlier_main.py	40	40	0%	2–5, 7–8, 10, 13, 44, 46–48, 50–51, 54, 57, 60–64, 67–68, 70, 75–76, 79, 84–87, 90–94, 96, 99, 101, 103
src/outputs
__init__.py	0	0	100%
export_files.py	89	89	0%	5–11, 13–14, 18, 24, 42, 44, 51, 56, 63, 68, 71, 98, 104, 107, 114, 116, 119, 125, 127–128, 131–135, 138–139, 142, 153–155, 157, 160, 173, 175–176, 178, 181, 201, 204, 207–208, 215, 219, 222–224, 227, 229, 231, 233–234, 236, 239–243, 245–246, 248, 251–253, 256, 259, 262, 276, 279–280, 288, 291, 293, 295, 305, 307–309, 318, 320, 323–324
form_output_prep.py	18	13	27%	25–27, 29–30, 34, 36–37, 39, 41, 43, 47, 49
frozen_group.py	45	45	0%	3–4, 6–7, 9–11, 13, 16, 47, 49–52, 55, 73, 125, 136, 163, 166–170, 172, 174, 177, 180–181, 183, 186, 189, 194–195, 198–199, 202, 205–207, 210–213, 215
gb_sas.py	25	25	0%	2–5, 7–9, 11, 14, 32, 35, 40, 43, 46, 49, 54, 57, 60–62, 65–68, 70
intram_by_civil_defence.py	23	23	0%	2–6, 8, 11, 30, 32–33, 36–37, 39, 42, 47, 50, 53–55, 58–61
intram_by_itl.py	55	16	70%	46–50, 54, 146, 149, 152–154, 157–158, 161–162, 172
intram_by_pg.py	31	0	100%
intram_by_sic.py	35	35	0%	2–5, 7, 10, 32–33, 36–37, 40–41, 43, 46–48, 53, 69–73, 75, 78, 81, 84, 87, 90–91, 94–97, 100, 102
intram_totals.py	16	16	0%	3–4, 6–7, 9, 12, 31–32, 35, 38, 41–42, 44–47
long_form.py	19	19	0%	2–5, 7–9, 11, 14, 31, 34, 37, 40–42, 44–47
manifest_output.py	78	78	0%	1–4, 8, 11–12, 15, 33, 48–51, 54–55, 59–60, 65–66, 68, 71–75, 78–84, 86, 104–105, 110, 112–113, 118, 121, 123, 125, 127, 131, 141, 146–147, 153, 156–157, 159–160, 166–169, 174, 181, 183, 188, 190–192, 194–195, 197–198, 200–203, 205, 208, 210, 216–217, 220–221
map_output_cols.py	38	7	81%	150–151, 153, 155, 158, 161, 163
ni_sas.py	21	21	0%	2–8, 10, 13, 28, 31, 34, 37, 42, 45–47, 50–53
outputs_helpers.py	17	0	100%
outputs_main.py	83	83	0%	3–4, 7, 10–22, 24, 27, 53, 58–60, 66, 69, 72–74, 80, 83–84, 87–89, 96, 99–101, 104, 107–109, 111–112, 118, 121–123, 133, 136–138, 142–143, 153, 156–158, 166, 169–171, 175–176, 185, 188–190, 198, 201–203, 210, 213–215, 223, 226–228, 230–232, 234
short_form.py	36	15	58%	78, 85, 87, 105, 108, 111, 114, 117, 120–122, 124–127
tau.py	27	27	0%	2–8, 10, 13, 33, 37, 40, 43, 46, 49, 54, 57, 59–60, 63–65, 68–71, 73
total_fte.py	14	14	0%	2–5, 8, 11, 24, 26–27, 33, 38–41
src/site_apportionment
__init__.py	0	0	100%
output_status_filtered.py	28	17	39%	24, 26, 30–31, 33–34, 36, 43–44, 72, 75, 77, 79–82, 84
site_apportionment.py	124	27	78%	97, 99–105, 458, 460–461, 504, 508, 510, 513, 516, 519, 522, 534, 537, 540, 543, 546, 549, 552, 555, 557
site_apportionment_main.py	25	25	0%	2–5, 7–8, 13, 16, 41, 43, 46–47, 50–51, 53–54, 57, 62–67, 69–70
src/staging
__init__.py	0	0	100%
postcode_validation.py	56	3	94%	131–132, 220
spp_parser.py	14	0	100%
spp_snapshot_processing.py	34	0	100%
staging_helpers.py	86	25	70%	113, 116, 119, 122, 125, 128–129, 132, 135, 138, 171, 174, 176, 179–180, 183, 186, 188–189, 192, 196–197, 199, 203, 209
staging_main.py	107	107	0%	3–6, 8, 10–11, 15, 18, 66–68, 71, 73–76, 78–79, 83, 85–86, 89, 92, 95–96, 98–99, 104–106, 110–113, 115–116, 122, 127–129, 131–132, 135, 148–150, 155, 158, 162, 164, 166–168, 171, 175, 177, 179–183, 186, 189, 191–192, 195, 197–202, 205, 209–210, 213–217, 219, 222, 231, 239, 249–250, 252–257, 260–261, 263, 266–271, 274–275, 277, 280, 292
validation.py	138	46	66%	33, 36, 85–86, 97, 119, 132–133, 138, 142, 150–151, 157–158, 197–198, 204, 206, 209, 211, 218–219, 298, 300–301, 304–305, 308–309, 312, 315–316, 319, 321, 323–324, 338, 340–346, 349, 352
src/utils
__init__.py	0	0	100%
breakdown_validation.py	130	45	65%	29, 186–188, 190–194, 196, 198, 201–202, 208–209, 212, 215, 217, 220, 222, 234–237, 240–243, 259–260, 265, 308–309, 311, 317–318, 360–363, 365–368, 371
config.py	149	2	98%	157–158
defence.py	20	0	100%
helpers.py	63	18	71%	19–20, 24–25, 27, 133–136, 138–139, 142–144, 153, 155–156, 214
local_file_mods.py	118	45	61%	48–54, 99, 149–151, 200–204, 215–216, 227, 238, 249–250, 252, 263–264, 275–276, 285, 293, 304, 306–307, 309–310, 314–316, 320, 334–335, 338–339, 341, 358, 363
path_helpers.py	127	8	93%	56, 269, 271, 273–274, 276–277, 279
postcode_reduction_helper.py	38	38	0%	11, 13–14, 16, 19, 22, 25, 27–28, 30–31, 34–35, 38, 40–41, 43–44, 47, 60, 62, 65, 68, 71–72, 74–75, 77, 80, 95, 97, 100–101, 104–105, 107, 109–110
s3_mods.py	127	127	0%	21–22, 26–27, 31, 41, 45–47, 51, 65, 67–68, 71–74, 76–77, 80, 91, 94, 99, 102, 105, 108, 119–120, 122, 125, 139, 143–144, 146, 149, 159, 166, 169, 171, 174, 176, 179, 190–191, 193, 196, 204–205, 208, 217–218, 222–225, 228, 239–240, 243–244, 247, 252, 255, 266–267, 269–272, 274–275, 278, 284, 287, 300, 303, 306, 308, 311, 317, 320, 323, 326, 329, 337–339, 341, 344, 348–349, 351, 354, 383, 387, 389, 396, 399, 404–406, 413, 416, 431, 433–434, 436–437, 441, 443, 445, 448, 450–452, 454, 457, 467, 470–471, 474, 477, 479–480, 483–485
singleton_boto.py	20	20	0%	4–5, 8–10, 12–13, 15–19, 23–25, 27–31
TOTAL	3942	1985	49%

Summary of tests

Tests	Skipped	Failures	Errors	Time
247	2 💤	0 ❌	0 🔥	3.373s ⏱️

[AnneONS]

Is there a way to do this where you don't have to hard code survey (PNP / BERD) or year, and you can put these in at the top?