Bump version to v0.1.0 for release

renaming to geoclustering due to pypi
test:release
2026-06-10 20:48:29 +03:00 · 2022-07-01 14:28:32 +02:00 · 2022-07-01 14:24:22 +02:00 · 2022-07-01 14:13:03 +02:00 · 2022-07-01 13:32:41 +02:00 · 2022-07-01 13:23:32 +02:00
25 changed files with 110 additions and 567 deletions
--- a/.github/actions/setup-venv/action.yml
+++ b/.github/actions/setup-venv/action.yml
@@ -30,7 +30,8 @@ runs:
      id: virtualenv-cache
      with:
        path: .venv
-        key: ${{ inputs.cache-prefix }}-${{ runner.os }}-${{ env.PYTHON_VERSION }}-${{ hashFiles('Pipfile.lock') }}
+        key: ${{ inputs.cache-prefix }}-${{ runner.os }}-${{ env.PYTHON_VERSION }}-${{ hashFiles('requirements.txt', 'dev-requirements.txt') }}
+
    - if: steps.virtualenv-cache.outputs.cache-hit != 'true'
      shell: bash
      run: |
--- a/.github/workflows/main.yml
+++ b/.github/workflows/main.yml
@@ -42,10 +42,6 @@ jobs:
              name: "Style"
              run: |
                black --check .
-          - python: "3.10"
-            task:
-              name: "Test"
-              run: pytest --exitfirst --failed-first

    steps:
      - uses: actions/checkout@v3
@@ -78,7 +74,7 @@ jobs:
    name: Release
    runs-on: ubuntu-latest
    needs: [checks]
-    if: startsWith(github.ref, 'refs/tags/')
+    # if: startsWith(github.ref, 'refs/tags/')
    steps:
      - uses: actions/checkout@v1

--- a/.pre-commit-config.yaml
+++ b/.pre-commit-config.yaml
@@ -1,10 +0,0 @@
-repos:
-  - repo: https://github.com/psf/black
-    rev: 22.3.0
-    hooks:
-      - id: black
-        # It is recommended to specify the latest version of Python
-        # supported by your project here, or alternatively use
-        # pre-commit's default_language_version, see
-        # https://pre-commit.com/#top_level-default_language_version
-        language_version: python3.9
--- a/2
+++ b/2
@@ -1,6 +1,6 @@
 MIT License

-Copyright (c) 2022, Stichting Bellingcat
+Copyright (c) 2022, Felix Spöttel

 Permission is hereby granted, free of charge, to any person obtaining a copy
 of this software and associated documentation files (the "Software"), to deal
--- a/2
+++ b/2
@@ -13,8 +13,6 @@ scikit-learn = "*"

 [dev-packages]
 black = "*"
-pre-commit = "*"
-pytest = "*"
 wheel = "*"

 [requires]
--- a/Pipfile.lock
+++ b/Pipfile.lock
@@ -1,7 +1,7 @@
 {
    "_meta": {
        "hash": {
-            "sha256": "5f06b83fcb7ea20fc04cdfdf3da353a1f003ea441738f7615cc3f789877a60bf"
+            "sha256": "2c871d34049ba57c71502528723f7a03014d0bf5c768f77704cf13ef88215378"
        },
        "pipfile-spec": 6,
        "requires": {
@@ -16,14 +16,6 @@
        ]
    },
    "default": {
-        "appnope": {
-            "hashes": [
-                "sha256:02bd91c4de869fbb1e1c50aafc4098827a7a54ab2f39d9dcba6c9547ed920e24",
-                "sha256:265a455292d0bd8a72453494fa24df5a11eb18373a60c7c0430889f22548605e"
-            ],
-            "markers": "platform_system == 'Darwin'",
-            "version": "==0.1.3"
-        },
        "argon2-cffi": {
            "hashes": [
                "sha256:8c976986f2c5c0e5000919e6de187906cfd81fb1c72bf9d88c01177e77da7f80",
@@ -107,72 +99,58 @@
        },
        "cffi": {
            "hashes": [
-                "sha256:00a9ed42e88df81ffae7a8ab6d9356b371399b91dbdf0c3cb1e84c03a13aceb5",
-                "sha256:03425bdae262c76aad70202debd780501fabeaca237cdfddc008987c0e0f59ef",
-                "sha256:04ed324bda3cda42b9b695d51bb7d54b680b9719cfab04227cdd1e04e5de3104",
-                "sha256:0e2642fe3142e4cc4af0799748233ad6da94c62a8bec3a6648bf8ee68b1c7426",
-                "sha256:173379135477dc8cac4bc58f45db08ab45d228b3363adb7af79436135d028405",
-                "sha256:198caafb44239b60e252492445da556afafc7d1e3ab7a1fb3f0584ef6d742375",
-                "sha256:1e74c6b51a9ed6589199c787bf5f9875612ca4a8a0785fb2d4a84429badaf22a",
-                "sha256:2012c72d854c2d03e45d06ae57f40d78e5770d252f195b93f581acf3ba44496e",
-                "sha256:21157295583fe8943475029ed5abdcf71eb3911894724e360acff1d61c1d54bc",
-                "sha256:2470043b93ff09bf8fb1d46d1cb756ce6132c54826661a32d4e4d132e1977adf",
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+                "sha256:920f0d66a896c2d99f0adbb391f990a84091179542c205fa53ce5787aff87954",
+                "sha256:a5263e363c27b653a90078143adb3d076c1a748ec9ecc78ea2fb916f9b861962",
+                "sha256:abb9a20a72ac4e0fdb50dae135ba5e77880518e742077ced47eb1499e29a443c",
+                "sha256:c2051981a968d7de9dd2d7b87bcb9c939c74a34626a6e2f8181455dd49ed69e4",
+                "sha256:c21c9e3896c23007803a875460fb786118f0cdd4434359577ea25eb556e34c55",
+                "sha256:c2502a1a03b6312837279c8c1bd3ebedf6c12c4228ddbad40912d671ccc8a962",
+                "sha256:d4d692a89c5cf08a8557fdeb329b82e7bf609aadfaed6c0d79f5a449a3c7c023",
+                "sha256:da5db4e883f1ce37f55c667e5c0de439df76ac4cb55964655906306918e7363c",
+                "sha256:e7022a66d9b55e93e1a845d8c9eba2a1bebd4966cd8bfc25d9cd07d515b33fa6",
+                "sha256:ef1f279350da2c586a69d32fc8733092fd32cc8ac95139a00377841f59a3f8d8",
+                "sha256:f54a64f8b0c8ff0b64d18aa76675262e1700f3995182267998c31ae974fbc382",
+                "sha256:f5c7150ad32ba43a07c4479f40241756145a1f03b43480e058cfd862bf5041c7",
+                "sha256:f6f824dc3bce0edab5f427efcfb1d63ee75b6fcb7282900ccaf925be84efb0fc",
+                "sha256:fd8a250edc26254fe5b33be00402e6d287f562b6a5b2152dec302fa15bb3e997",
+                "sha256:ffaa5c925128e29efbde7301d8ecaf35c8c60ffbcd6a1ffd3a552177c8e5e796"
            ],
-            "version": "==1.15.1"
+            "version": "==1.15.0"
        },
        "click": {
            "hashes": [
@@ -462,11 +440,11 @@
        },
        "nbclient": {
            "hashes": [
-                "sha256:09bae4ea2df79fa6bc50aeb8278d8b79d2036792824337fa6eee834afae17312",
-                "sha256:0df76a7961d99a681b4796c74a1f2553b9f998851acc01896dce064ad19a9027"
+                "sha256:cdef7757cead1735d2c70cc66095b072dced8a1e6d1c7639ef90cd3e04a11f2e",
+                "sha256:f251bba200a2b401a061dfd700a7a70b5772f664fb49d4a2d3e5536ec0e98c76"
            ],
            "markers": "python_version >= '3.7'",
-            "version": "==0.6.6"
+            "version": "==0.6.4"
        },
        "nbconvert": {
            "hashes": [
@@ -1059,14 +1037,6 @@
        }
    },
    "develop": {
-        "attrs": {
-            "hashes": [
-                "sha256:2d27e3784d7a565d36ab851fe94887c5eccd6a463168875832a1be79c82828b4",
-                "sha256:626ba8234211db98e869df76230a137c4c40a12d72445c45d5f5b716f076e2fd"
-            ],
-            "markers": "python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3, 3.4'",
-            "version": "==21.4.0"
-        },
        "black": {
            "hashes": [
                "sha256:074458dc2f6e0d3dab7928d4417bb6957bb834434516f21514138437accdbe90",
@@ -1096,14 +1066,6 @@
            "index": "pypi",
            "version": "==22.6.0"
        },
-        "cfgv": {
-            "hashes": [
-                "sha256:c6a0883f3917a037485059700b9e75da2464e6c27051014ad85ba6aaa5884426",
-                "sha256:f5a830efb9ce7a445376bb66ec94c638a9787422f96264c98edc6bdeed8ab736"
-            ],
-            "markers": "python_full_version >= '3.6.1'",
-            "version": "==3.3.1"
-        },
        "click": {
            "hashes": [
                "sha256:7682dc8afb30297001674575ea00d1814d808d6a36af415a82bd481d37ba7b8e",
@@ -1112,36 +1074,6 @@
            "index": "pypi",
            "version": "==8.1.3"
        },
-        "distlib": {
-            "hashes": [
-                "sha256:6564fe0a8f51e734df6333d08b8b94d4ea8ee6b99b5ed50613f731fd4089f34b",
-                "sha256:e4b58818180336dc9c529bfb9a0b58728ffc09ad92027a3f30b7cd91e3458579"
-            ],
-            "version": "==0.3.4"
-        },
-        "filelock": {
-            "hashes": [
-                "sha256:37def7b658813cda163b56fc564cdc75e86d338246458c4c28ae84cabefa2404",
-                "sha256:3a0fd85166ad9dbab54c9aec96737b744106dc5f15c0b09a6744a445299fcf04"
-            ],
-            "markers": "python_version >= '3.7'",
-            "version": "==3.7.1"
-        },
-        "identify": {
-            "hashes": [
-                "sha256:0dca2ea3e4381c435ef9c33ba100a78a9b40c0bab11189c7cf121f75815efeaa",
-                "sha256:3d11b16f3fe19f52039fb7e39c9c884b21cb1b586988114fbe42671f03de3e82"
-            ],
-            "markers": "python_version >= '3.7'",
-            "version": "==2.5.1"
-        },
-        "iniconfig": {
-            "hashes": [
-                "sha256:011e24c64b7f47f6ebd835bb12a743f2fbe9a26d4cecaa7f53bc4f35ee9da8b3",
-                "sha256:bc3af051d7d14b2ee5ef9969666def0cd1a000e121eaea580d4a313df4b37f32"
-            ],
-            "version": "==1.1.1"
-        },
        "mypy-extensions": {
            "hashes": [
                "sha256:090fedd75945a69ae91ce1303b5824f428daf5a028d2f6ab8a299250a846f15d",
@@ -1149,22 +1081,6 @@
            ],
            "version": "==0.4.3"
        },
-        "nodeenv": {
-            "hashes": [
-                "sha256:27083a7b96a25f2f5e1d8cb4b6317ee8aeda3bdd121394e5ac54e498028a042e",
-                "sha256:e0e7f7dfb85fc5394c6fe1e8fa98131a2473e04311a45afb6508f7cf1836fa2b"
-            ],
-            "markers": "python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3, 3.4, 3.5, 3.6'",
-            "version": "==1.7.0"
-        },
-        "packaging": {
-            "hashes": [
-                "sha256:dd47c42927d89ab911e606518907cc2d3a1f38bbd026385970643f9c5b8ecfeb",
-                "sha256:ef103e05f519cdc783ae24ea4e2e0f508a9c99b2d4969652eed6a2e1ea5bd522"
-            ],
-            "markers": "python_version >= '3.6'",
-            "version": "==21.3"
-        },
        "pathspec": {
            "hashes": [
                "sha256:7d15c4ddb0b5c802d161efc417ec1a2558ea2653c2e8ad9c19098201dc1c993a",
@@ -1180,109 +1096,6 @@
            "markers": "python_version >= '3.7'",
            "version": "==2.5.2"
        },
-        "pluggy": {
-            "hashes": [
-                "sha256:4224373bacce55f955a878bf9cfa763c1e360858e330072059e10bad68531159",
-                "sha256:74134bbf457f031a36d68416e1509f34bd5ccc019f0bcc952c7b909d06b37bd3"
-            ],
-            "markers": "python_version >= '3.6'",
-            "version": "==1.0.0"
-        },
-        "pre-commit": {
-            "hashes": [
-                "sha256:10c62741aa5704faea2ad69cb550ca78082efe5697d6f04e5710c3c229afdd10",
-                "sha256:4233a1e38621c87d9dda9808c6606d7e7ba0e087cd56d3fe03202a01d2919615"
-            ],
-            "index": "pypi",
-            "version": "==2.19.0"
-        },
-        "py": {
-            "hashes": [
-                "sha256:51c75c4126074b472f746a24399ad32f6053d1b34b68d2fa41e558e6f4a98719",
-                "sha256:607c53218732647dff4acdfcd50cb62615cedf612e72d1724fb1a0cc6405b378"
-            ],
-            "markers": "python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3, 3.4'",
-            "version": "==1.11.0"
-        },
-        "pyparsing": {
-            "hashes": [
-                "sha256:2b020ecf7d21b687f219b71ecad3631f644a47f01403fa1d1036b0c6416d70fb",
-                "sha256:5026bae9a10eeaefb61dab2f09052b9f4307d44aee4eda64b309723d8d206bbc"
-            ],
-            "markers": "python_full_version >= '3.6.8'",
-            "version": "==3.0.9"
-        },
-        "pytest": {
-            "hashes": [
-                "sha256:13d0e3ccfc2b6e26be000cb6568c832ba67ba32e719443bfe725814d3c42433c",
-                "sha256:a06a0425453864a270bc45e71f783330a7428defb4230fb5e6a731fde06ecd45"
-            ],
-            "index": "pypi",
-            "version": "==7.1.2"
-        },
-        "pyyaml": {
-            "hashes": [
-                "sha256:0283c35a6a9fbf047493e3a0ce8d79ef5030852c51e9d911a27badfde0605293",
-                "sha256:055d937d65826939cb044fc8c9b08889e8c743fdc6a32b33e2390f66013e449b",
-                "sha256:07751360502caac1c067a8132d150cf3d61339af5691fe9e87803040dbc5db57",
-                "sha256:0b4624f379dab24d3725ffde76559cff63d9ec94e1736b556dacdfebe5ab6d4b",
-                "sha256:0ce82d761c532fe4ec3f87fc45688bdd3a4c1dc5e0b4a19814b9009a29baefd4",
-                "sha256:1e4747bc279b4f613a09eb64bba2ba602d8a6664c6ce6396a4d0cd413a50ce07",
-                "sha256:213c60cd50106436cc818accf5baa1aba61c0189ff610f64f4a3e8c6726218ba",
-                "sha256:231710d57adfd809ef5d34183b8ed1eeae3f76459c18fb4a0b373ad56bedcdd9",
-                "sha256:277a0ef2981ca40581a47093e9e2d13b3f1fbbeffae064c1d21bfceba2030287",
-                "sha256:2cd5df3de48857ed0544b34e2d40e9fac445930039f3cfe4bcc592a1f836d513",
-                "sha256:40527857252b61eacd1d9af500c3337ba8deb8fc298940291486c465c8b46ec0",
-                "sha256:473f9edb243cb1935ab5a084eb238d842fb8f404ed2193a915d1784b5a6b5fc0",
-                "sha256:48c346915c114f5fdb3ead70312bd042a953a8ce5c7106d5bfb1a5254e47da92",
-                "sha256:50602afada6d6cbfad699b0c7bb50d5ccffa7e46a3d738092afddc1f9758427f",
-                "sha256:68fb519c14306fec9720a2a5b45bc9f0c8d1b9c72adf45c37baedfcd949c35a2",
-                "sha256:77f396e6ef4c73fdc33a9157446466f1cff553d979bd00ecb64385760c6babdc",
-                "sha256:819b3830a1543db06c4d4b865e70ded25be52a2e0631ccd2f6a47a2822f2fd7c",
-                "sha256:897b80890765f037df3403d22bab41627ca8811ae55e9a722fd0392850ec4d86",
-                "sha256:98c4d36e99714e55cfbaaee6dd5badbc9a1ec339ebfc3b1f52e293aee6bb71a4",
-                "sha256:9df7ed3b3d2e0ecfe09e14741b857df43adb5a3ddadc919a2d94fbdf78fea53c",
-                "sha256:9fa600030013c4de8165339db93d182b9431076eb98eb40ee068700c9c813e34",
-                "sha256:a80a78046a72361de73f8f395f1f1e49f956c6be882eed58505a15f3e430962b",
-                "sha256:b3d267842bf12586ba6c734f89d1f5b871df0273157918b0ccefa29deb05c21c",
-                "sha256:b5b9eccad747aabaaffbc6064800670f0c297e52c12754eb1d976c57e4f74dcb",
-                "sha256:c5687b8d43cf58545ade1fe3e055f70eac7a5a1a0bf42824308d868289a95737",
-                "sha256:cba8c411ef271aa037d7357a2bc8f9ee8b58b9965831d9e51baf703280dc73d3",
-                "sha256:d15a181d1ecd0d4270dc32edb46f7cb7733c7c508857278d3d378d14d606db2d",
-                "sha256:d4db7c7aef085872ef65a8fd7d6d09a14ae91f691dec3e87ee5ee0539d516f53",
-                "sha256:d4eccecf9adf6fbcc6861a38015c2a64f38b9d94838ac1810a9023a0609e1b78",
-                "sha256:d67d839ede4ed1b28a4e8909735fc992a923cdb84e618544973d7dfc71540803",
-                "sha256:daf496c58a8c52083df09b80c860005194014c3698698d1a57cbcfa182142a3a",
-                "sha256:e61ceaab6f49fb8bdfaa0f92c4b57bcfbea54c09277b1b4f7ac376bfb7a7c174",
-                "sha256:f84fbc98b019fef2ee9a1cb3ce93e3187a6df0b2538a651bfb890254ba9f90b5"
-            ],
-            "markers": "python_version >= '3.6'",
-            "version": "==6.0"
-        },
-        "setuptools": {
-            "hashes": [
-                "sha256:990a4f7861b31532871ab72331e755b5f14efbe52d336ea7f6118144dd478741",
-                "sha256:c1848f654aea2e3526d17fc3ce6aeaa5e7e24e66e645b5be2171f3f6b4e5a178"
-            ],
-            "markers": "python_version >= '3.7'",
-            "version": "==62.6.0"
-        },
-        "six": {
-            "hashes": [
-                "sha256:1e61c37477a1626458e36f7b1d82aa5c9b094fa4802892072e49de9c60c4c926",
-                "sha256:8abb2f1d86890a2dfb989f9a77cfcfd3e47c2a354b01111771326f8aa26e0254"
-            ],
-            "markers": "python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3'",
-            "version": "==1.16.0"
-        },
-        "toml": {
-            "hashes": [
-                "sha256:806143ae5bfb6a3c6e736a764057db0e6a0e05e338b5630894a5f779cabb4f9b",
-                "sha256:b3bda1d108d5dd99f4a20d24d9c348e91c4db7ab1b749200bded2f839ccbe68f"
-            ],
-            "markers": "python_version >= '2.6' and python_version not in '3.0, 3.1, 3.2, 3.3'",
-            "version": "==0.10.2"
-        },
        "tomli": {
            "hashes": [
                "sha256:939de3e7a6161af0c887ef91b7d41a53e7c5a1ca976325f429cb46ea9bc30ecc",
@@ -1293,19 +1106,11 @@
        },
        "typing-extensions": {
            "hashes": [
-                "sha256:25642c956049920a5aa49edcdd6ab1e06d7e5d467fc00e0506c44ac86fbfca02",
-                "sha256:e6d2677a32f47fc7eb2795db1dd15c1f34eff616bcaf2cfb5e997f854fa1c4a6"
+                "sha256:6657594ee297170d19f67d55c05852a874e7eb634f4f753dbd667855e07c1708",
+                "sha256:f1c24655a0da0d1b67f07e17a5e6b2a105894e6824b92096378bb3668ef02376"
            ],
            "markers": "python_version < '3.10'",
-            "version": "==4.3.0"
-        },
-        "virtualenv": {
-            "hashes": [
-                "sha256:288171134a2ff3bfb1a2f54f119e77cd1b81c29fc1265a2356f3e8d14c7d58c4",
-                "sha256:b30aefac647e86af6d82bfc944c556f8f1a9c90427b2fb4e3bfbf338cb82becf"
-            ],
-            "markers": "python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3, 3.4'",
-            "version": "==20.15.1"
+            "version": "==4.2.0"
        },
        "wheel": {
            "hashes": [
--- a/README.md
+++ b/README.md
@@ -10,39 +10,35 @@

 ### Clustering Method

-A cluster is created when a certain number of points (defined with `--size`) each are within a given distance (defined with `--distance`) of at least one other point in the cluster. 
+A cluster is created when a certain number of points (=> `--size`) each are within a given distance (=> `--distance`) of at least one other point in the cluster. 


 ## Install

-Install with pip:
+Clone the repository:

 ```sh
-# with kepler.gl visualization support
-pip install geoclustering[full]
-
-# only text-based output
-pip install geoclustering
+git clone https://github.com/bellingcat/geoclustering
+cd geoclustering
 ```

-If the `full` install fails, you might need to install kepler.gl build dependencies:
+Install keplergl build dependencies:

 ```sh
 # macos
 brew install proj gdal
 ```

+Install project with pip:
+```sh
+pip install .
+```
+
 ## Usage

 ```
 Usage: geoclustering [OPTIONS] FILENAME

-  Tool to cluster geolocations. A cluster is created when a certain number of
-  points (defined with --size) each are within a given distance (defined with
-  --distance) of at least one other point in the cluster. Input is supplied as
-  a csv file. At a minimum, each row needs to have a 'lat' and a 'lon' column.
-  Other rows are reflected to the output.
-
 Options:
  -d, --distance FLOAT            (in km) Max. distance between two points in
                                  a cluster.  [required]
@@ -54,15 +50,12 @@ Options:
                                  Clustering algorithm to be used. `optics`
                                  produces tighter clusters but is slower.
                                  Default: dbscan
-  --open                          Open the generated visualization in the
-                                  default browser automatically.
-  --debug                         Print debug output.
  --help                          Show this message and exit.
 ```

 ## Input

-Inputs are supplied as a `.csv` file. At a minimum, each row needs to have a `lat` and a `lon`` column. Other rows are reflected to the output.
+Inputs are supplied as a `.csv` file. The only required fields are `lat` and `lon`, all other fields are reflected to the output.

 ```csv
 id,name,lat,lon
@@ -72,7 +65,7 @@ id,name,lat,lon

 ## Output

-If at least one cluster was found, the tool outputs a folder with output as `json`, `geojson`, `txt` files. A kepler.gl `html` file is generated as well.
+If at least one cluster was found, the tool outputs a folder with `json`, `geojson`, `text` and a kepler.gl `html` files.

 ### JSON

@@ -121,7 +114,7 @@ Encodes a single `FeatureCollection`, containing all points as `Feature` objects
 }
 ```

-### Text
+### txt

 Encodes cluster as blocks separated by a newline, where each line in a cluster block contains one point.

@@ -135,17 +128,3 @@ id 9, name Rosanna Foggo, lat -6.2074293, lon 106.8915948
 ### kepler.gl

 ![kepler.gl instance](https://user-images.githubusercontent.com/1682504/176478177-c0446b51-4060-495c-803d-79e2bbd3e966.png)
-
-## Develop
-
-It is assumed that you are using **Python3.9+**. It is encouraged to [setup a virtualenv](https://wiki.archlinux.org/title/Python/Virtual_environment#venv>) for development.
-
-```sh
-    # install dependencies & dev-dependencies
-    pip install -e .[dev,full]
-
-    # install a git hook that runs the code formatter before each commit.
-    pre-commit install
-```
-
-We use [Black](https://github.com/psf/black) as our code formatter. If you don't want to use the `pre-commit` hook, you can run the formatter manually or via an editor plugin.
--- a/geoclustering/main.py
+++ b/geoclustering/main.py
@@ -1,6 +1,4 @@
-from pathlib import Path
 import click
-import os
 import webbrowser

 import geoclustering.clustering as clustering
@@ -8,9 +6,7 @@ import geoclustering.encoding as encoding
 import geoclustering.io as io


-@click.command(
-    help="Tool to cluster geolocations. A cluster is created when a certain number of points (defined with --size) each are within a given distance (defined with --distance) of at least one other point in the cluster. Input is supplied as a csv file. At a minimum, each row needs to have a 'lat' and a 'lon' column. Other rows are reflected to the output."
-)
+@click.command()
@click.option(
    "--distance",
    "-d",
@@ -42,54 +38,26 @@ import geoclustering.io as io
    default="dbscan",
    help="Clustering algorithm to be used. `optics` produces tighter clusters but is slower. Default: dbscan",
 )
-@click.option(
-    "--open",
-    is_flag=True,
-    help="Open the generated visualization in the default browser automatically.",
-)
-@click.option("--debug", is_flag=True, help="Print debug output.")
@click.argument("filename", type=click.Path(exists=True))
-def main(distance, size, output, filename, algorithm, open, debug):
-    def print_debug(s):
-        if debug:
-            click.secho(s, fg="bright_black")
-
+def main(distance, size, output, filename, algorithm):
    df = io.read_csv_file(filename)
-    print_debug(f"Read {len(df)} valid coordinates from {Path(filename).absolute()}")

    clusters = clustering.cluster_locations(
        df=df, algorithm=algorithm, radius_km=distance, min_cluster_size=size
    )

    if not bool(clusters):
-        click.secho("Did not find clusters matching input parameters.", fg="yellow")
+        click.echo("Did not find clusters matching input parameters.")
        return

-    print_debug(f"Found {len(clusters)} valid clusters using {algorithm}")
-
    encoded = encoding.encode_clusters(clusters)

    io.write_output_file(output, "result.txt", encoded["string"])
    io.write_output_file(output, "result.json", encoded["json"])
    io.write_output_file(output, "result.geojson", encoded["geojson"])
-
    vis = io.write_visualization(output, "result.html", encoded["geojson"])
-    if vis is None:
-        print_debug(f"Skipped generating visualization: kepler is not installed.")

-    click.echo(f"Output files saved to {Path(output).absolute()}")
-
-    if open:
-        if vis:
-            webbrowser.open_new_tab("file://" + str(vis.absolute()))
-            print_debug(f"Opened visualization in default browser.")
-        else:
-            click.secho(
-                "Can't open kepler.gl: package not installed. Please re-install geoclustering with `pip install geoclustering[full]`.",
-                fg="yellow",
-            )
-
-    click.secho("Clustering completed.", fg="green")
+    webbrowser.open_new_tab("file://" + str(vis.absolute()))


 if __name__ == "__main__":
--- a/geoclustering/clustering.py
+++ b/geoclustering/clustering.py
@@ -14,6 +14,8 @@ def to_cluster_dict(df, clustering):
    """
    clusters_by_id = {}

+    print(clustering.labels_)
+
    for idx, cluster_id in enumerate(clustering.labels_):
        # ignore "noise" locations that don't belong to any cluster.
        if cluster_id > -1:
--- a/geoclustering/io.py
+++ b/geoclustering/io.py
@@ -1,30 +1,10 @@
+from keplergl import KeplerGl
 from pathlib import Path
 from pkg_resources import resource_filename
 import json
+import json
 import pandas as pd
 import numpy as np
-import os
-import sys
-
-# kepler is optional, check if installed.
-try:
-    from keplergl import KeplerGl
-except:
-    has_kepler = False
-else:
-    has_kepler = True
-
-
-class HiddenPrints:
-    """Disables stdout prints for a block of code."""
-
-    def __enter__(self):
-        self._original_stdout = sys.stdout
-        sys.stdout = open(os.devnull, "w")
-
-    def __exit__(self, exc_type, exc_val, exc_tb):
-        sys.stdout.close()
-        sys.stdout = self._original_stdout


 def is_valid_lat(val: str) -> bool:
@@ -45,32 +25,23 @@ def is_valid_lon(val: str) -> bool:
        return False


-def is_not_none(val: any) -> bool:
-    return val is not None
-
-
 def read_csv_file(filename):
    """Read input csv file, dropping rows that don't have valid location data."""
-    # replace NaN for all fields not to break kepler parsing.
-    df = pd.read_csv(filename).replace({np.nan: None})
+    df = pd.read_csv(filename)
+    initial_rows = len(df)

-    # construct an index of values with valid lat & lon.
-    valid_index = df.lat.apply(is_valid_lat) & df.lon.apply(is_valid_lon)
-    df_invalid = df[~valid_index]
-
-    if count_invalid := len(df_invalid):
-        df_not_empty = df_invalid[
-            (df_invalid.lat.apply(is_not_none) | df_invalid.lon.apply(is_not_none))
-        ]
-        count_not_empty = len(df_not_empty)
-
-        if count_empty := count_invalid - count_not_empty:
-            print(f"Removed {count_empty} empty coordinate pairs.")
-
-        if count_not_empty:
-            print(f"Removed {count_not_empty} invalid coordinate pairs:")
-            print(df_not_empty[["lat", "lon"]].to_string())
+    df = df.dropna(subset=["lat", "lon"])
+    df = df.replace(
+        {np.nan: None}
+    )  # replace for other fields not to break kepler parsing
+    print(f"Ignored {initial_rows - len(df)} coordinates with NaN")

+    valid_index = df.lat.astype(str).apply(is_valid_lat) & df.lon.astype(str).apply(
+        is_valid_lon
+    )
+    if len(df_invalid := df[~valid_index]):
+        print(f"Found {len(df_invalid)} invalid coordinate pairs, ignoring:")
+        print(df_invalid[["lat", "lon"]].to_string())
    return df[valid_index]


@@ -93,14 +64,7 @@ def write_output_file(dirname, filename, data):

 def write_visualization(dirname, filename, data):
    """Write a visualization, ensuring parent directories."""
-
-    if not has_kepler:
-        return None
-
-    # Hide kepler stdout output.
-    with HiddenPrints():
-        map = KeplerGl()
-
+    map = KeplerGl()
    map.add_data(data=data, name="clusters")

    # config configures a default color scheme for our clusters layer.
@@ -109,9 +73,6 @@ def write_visualization(dirname, filename, data):
        map.config = json.loads(f.read())

    filepath = ensure_file_path(dirname, filename)
-
-    # Hide kepler stdout output.
-    with HiddenPrints():
-        map.save_to_html(file_name=str(filepath), center_map=True)
+    map.save_to_html(file_name=str(filepath), center_map=True)

    return filepath
--- a/geoclustering/kepler_config.json
+++ b/geoclustering/kepler_config.json
@@ -9,7 +9,7 @@
          "config": {
            "dataId": "clusters",
            "label": "clusters",
-            "color": [248, 149, 112],
+            "color": [179, 173, 158],
            "highlightColor": [252, 242, 26, 255],
            "columns": { "geojson": "_geojson" },
            "isVisible": true,
@@ -19,30 +19,16 @@
              "thickness": 0.5,
              "strokeColor": null,
              "colorRange": {
-                "name": "Uber Viz Qualitative 4",
-                "type": "qualitative",
+                "name": "Global Warming",
+                "type": "sequential",
                "category": "Uber",
                "colors": [
-                  "#12939A",
-                  "#DDB27C",
-                  "#88572C",
-                  "#FF991F",
-                  "#F15C17",
-                  "#223F9A",
-                  "#DA70BF",
-                  "#125C77",
-                  "#4DC19C",
-                  "#776E57",
-                  "#17B8BE",
-                  "#F6D18A",
-                  "#B7885E",
-                  "#FFCB99",
-                  "#F89570",
-                  "#829AE3",
-                  "#E79FD5",
-                  "#1E96BE",
-                  "#89DAC1",
-                  "#B3AD9E"
+                  "#5A1846",
+                  "#900C3F",
+                  "#C70039",
+                  "#E3611C",
+                  "#F1920E",
+                  "#FFC300"
                ]
              },
              "strokeColorRange": {
--- a/geoclustering/version.py
+++ b/geoclustering/version.py
@@ -1,5 +1,5 @@
 _MAJOR = "0"
-_MINOR = "3"
+_MINOR = "1"
 # On main and in a nightly release the patch should be one ahead of the last
 # released build.
 _PATCH = "0"
--- a/pytest.ini
+++ b/pytest.ini
@@ -1,3 +0,0 @@
-[pytest]
-testpaths = tests/
-python_files = *.py
--- a/scripts/release.sh
+++ b/scripts/release.sh
--- a/setup.py
+++ b/setup.py
@@ -22,20 +22,17 @@ setup(
    author_email="tech@bellingcat.com",
    license="MIT",
    packages=["geoclustering"],
-    package_data={"geoclustering": ["kepler_config.json"]},
    keywords=["cluster", "gis", "pattern-analysis"],
    entry_points={"console_scripts": ["geoclustering = geoclustering.__main__:main"]},
    install_requires=[
        "click",
        "geojson",
+        "keplergl",
        "numpy",
        "pandas",
        "scikit-learn",
    ],
-    extras_require={
-        "dev": ["black", "wheel", "pre-commit", "pytest"],
-        "full": ["keplergl"],
-    },
+    extras_require={"dev": ["black", "wheel"]},
    include_package_data=True,
    zip_safe=False,
 )
--- a/tests/init.py
+++ b/tests/init.py
--- a/tests/clustering.py
+++ b/tests/clustering.py
@@ -1,42 +0,0 @@
-from geoclustering.clustering import cluster_locations
-from geoclustering.io import read_csv_file
-from tests.helpers import get_fixture_path, read_fixture_csv
-
-
-df = read_fixture_csv("clustering.csv")
-
-
-def has_member(list, name):
-    return any(x for x in list if x["name"] == name)
-
-
-def test_clustering_all():
-    # there should be one cluster with all members but Erin.
-    res = cluster_locations(
-        df=df, algorithm="dbscan", radius_km=1.97, min_cluster_size=4
-    )
-    assert len(res.values()) == 1
-    assert len(res[0]) == 4
-
-
-def test_clustering_split():
-    res = cluster_locations(
-        df=df, algorithm="dbscan", radius_km=0.5, min_cluster_size=2
-    )
-    # there should be two cluster: Alice & Bob and Carol & Dan
-    assert len(res.values()) == 2
-    cluster_one = res[0]
-    cluster_two = res[1]
-    assert len(cluster_one) == 2
-    assert has_member(cluster_one, "Alice")
-    assert has_member(cluster_one, "Bob")
-    assert has_member(cluster_two, "Carol")
-    assert has_member(cluster_two, "Dan")
-
-
-def test_clustering_none():
-    # there should be no clusters now.
-    res = cluster_locations(
-        df=df, algorithm="dbscan", radius_km=0.5, min_cluster_size=3
-    )
-    assert len(res.values()) == 0
--- a/tests/encoding.py
+++ b/tests/encoding.py
@@ -1,30 +0,0 @@
-from geoclustering.clustering import cluster_locations
-from geoclustering.encoding import encode_clusters
-from tests.helpers import read_fixture_csv, read_fixture_content
-
-
-df = read_fixture_csv("clustering.csv")
-
-
-def test_encoders():
-    clusters = {
-        0: [
-            {"id": 1, "name": "Alice", "lat": 52.523955, "lon": 13.442362},
-            {"id": 2, "name": "Bob", "lat": 52.526659, "lon": 13.448097},
-        ],
-        1: [
-            {"id": 3, "name": "Carol", "lat": 52.525626, "lon": 13.419246},
-            {
-                "id": 4,
-                "name": "Dan",
-                "lat": 52.52443559865125,
-                "lon": 13.41261723049818,
-            },
-        ],
-    }
-
-    res = encode_clusters(clusters)
-
-    assert res["string"] == read_fixture_content("snapshots/result.txt")
-    assert res["json"] == read_fixture_content("snapshots/result.json")
-    assert res["geojson"] == read_fixture_content("snapshots/result.geojson")
--- a/tests/fixtures/clustering.csv
+++ b/tests/fixtures/clustering.csv
@@ -1,6 +0,0 @@
-id,name,lat,lon
-1,Alice,52.523955,13.442362
-2,Bob,52.526659,13.448097
-3,Carol,52.525626,13.419246
-4,Dan,52.52443559865125,13.41261723049818
-5,Erin,52.524838991760774,13.383188597040382
--- a/tests/fixtures/io.csv
+++ b/tests/fixtures/io.csv
@@ -1,9 +0,0 @@
-id,name,lat,lon
-1,Alice,,
-2,,52.523955,13.442362
-,,-90.12,132.23
-4,,78.234,-180.1212
-5,Bob,52.524838991760774,13.383188597040382
-6,Peter,91.234,
-7,Horst,,23.23
-7,Erin,foo,bar
--- a/tests/fixtures/snapshots/result.geojson
+++ b/tests/fixtures/snapshots/result.geojson
@@ -1 +0,0 @@
-{"type": "FeatureCollection", "features": [{"type": "Feature", "geometry": {"type": "Point", "coordinates": [13.442362, 52.523955]}, "properties": {"id": 1, "name": "Alice", "cluster_id": 0}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [13.448097, 52.526659]}, "properties": {"id": 2, "name": "Bob", "cluster_id": 0}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [13.419246, 52.525626]}, "properties": {"id": 3, "name": "Carol", "cluster_id": 1}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [13.412617, 52.524436]}, "properties": {"id": 4, "name": "Dan", "cluster_id": 1}}]}
--- a/tests/fixtures/snapshots/result.json
+++ b/tests/fixtures/snapshots/result.json
@@ -1 +0,0 @@
-[{"cluster_id": 0, "points": [{"id": 1, "name": "Alice", "lat": 52.523955, "lon": 13.442362}, {"id": 2, "name": "Bob", "lat": 52.526659, "lon": 13.448097}]}, {"cluster_id": 0, "points": [{"id": 1, "name": "Alice", "lat": 52.523955, "lon": 13.442362}, {"id": 2, "name": "Bob", "lat": 52.526659, "lon": 13.448097}]}, {"cluster_id": 1, "points": [{"id": 3, "name": "Carol", "lat": 52.525626, "lon": 13.419246}, {"id": 4, "name": "Dan", "lat": 52.52443559865125, "lon": 13.41261723049818}]}, {"cluster_id": 1, "points": [{"id": 3, "name": "Carol", "lat": 52.525626, "lon": 13.419246}, {"id": 4, "name": "Dan", "lat": 52.52443559865125, "lon": 13.41261723049818}]}]
--- a/tests/fixtures/snapshots/result.txt
+++ b/tests/fixtures/snapshots/result.txt
@@ -1,7 +0,0 @@
-Cluster 0
-id 1, name Alice, lat 52.523955, lon 13.442362
-id 2, name Bob, lat 52.526659, lon 13.448097
-
-Cluster 1
-id 3, name Carol, lat 52.525626, lon 13.419246
-id 4, name Dan, lat 52.52443559865125, lon 13.41261723049818
--- a/tests/helpers.py
+++ b/tests/helpers.py
@@ -1,16 +0,0 @@
-import os
-from geoclustering.io import read_csv_file
-
-
-def get_fixture_path(filename):
-    dir_path = os.path.dirname(os.path.realpath(__file__))
-    return os.path.join(dir_path, "fixtures", filename)
-
-
-def read_fixture_csv(filename):
-    return read_csv_file(get_fixture_path(filename))
-
-
-def read_fixture_content(filename):
-    with open(get_fixture_path(filename)) as f:
-        return f.read()
--- a/tests/io.py
+++ b/tests/io.py
@@ -1,25 +0,0 @@
-from pathlib import Path
-import shutil
-from geoclustering.io import write_output_file
-from tests.helpers import read_fixture_csv
-
-
-def test_csv_filters():
-    df = read_fixture_csv("io.csv")
-    # entries 2 & 5 in fixture are valid.
-    assert len(df) == 2
-    assert df.iloc[0]["name"] == None
-    assert df.iloc[1]["name"] == "Bob"
-
-
-def test_write_output_file():
-    p = "./this/dir/does/not/exist"
-    f = "test.txt"
-    write_output_file(p, f, "test")
-
-    path = Path(p) / f
-
-    with open(path) as f:
-        assert f.read() == "test"
-
-    shutil.rmtree(Path("./this"))
Author	SHA1	Message	Date
Miguel Ramalho	f287cb8d02	Bump version to v0.1.0 for release	2022-07-01 14:28:32 +02:00
msramalho	6f83246478	renaming to geoclustering due to pypi	2022-07-01 14:24:22 +02:00
msramalho	b02139c50f	test:release	2022-07-01 14:13:03 +02:00
msramalho	0c789c3335	cleanup	2022-07-01 13:32:41 +02:00
msramalho	55cdec2fc8	delete lint	2022-07-01 13:23:32 +02:00
msramalho	aa228bcde2	simplify	2022-07-01 13:22:39 +02:00
msramalho	fa4983aea6	main.yml fix	2022-07-01 13:13:22 +02:00
msramalho	2596b3d87c	trigger ga	2022-07-01 13:12:40 +02:00
Miguel Sozinho Ramalho	c91b0cd94d	Merge branch 'main' into feat-pypi-workflow	2022-07-01 12:12:07 +01:00
msramalho	e6f56d6c62	updates	2022-07-01 13:10:42 +02:00
msramalho	4c46ff44a8	vresion fix	2022-07-01 13:04:57 +02:00
msramalho	2e63491f72	steps	2022-07-01 13:03:12 +02:00
msramalho	03e132ff03	build dist	2022-07-01 13:02:08 +02:00
msramalho	3b47f2343d	on push	2022-07-01 12:48:19 +02:00
msramalho	6eb9007ece	testing workflow without	2022-07-01 12:46:49 +02:00
				`@@ -1 +0,0 @@`
				{"type": "FeatureCollection", "features": [{"type": "Feature", "geometry": {"type": "Point", "coordinates": [13.442362, 52.523955]}, "properties": {"id": 1, "name": "Alice", "cluster_id": 0}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [13.448097, 52.526659]}, "properties": {"id": 2, "name": "Bob", "cluster_id": 0}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [13.419246, 52.525626]}, "properties": {"id": 3, "name": "Carol", "cluster_id": 1}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [13.412617, 52.524436]}, "properties": {"id": 4, "name": "Dan", "cluster_id": 1}}]}
				`@@ -1 +0,0 @@`
				[{"cluster_id": 0, "points": [{"id": 1, "name": "Alice", "lat": 52.523955, "lon": 13.442362}, {"id": 2, "name": "Bob", "lat": 52.526659, "lon": 13.448097}]}, {"cluster_id": 0, "points": [{"id": 1, "name": "Alice", "lat": 52.523955, "lon": 13.442362}, {"id": 2, "name": "Bob", "lat": 52.526659, "lon": 13.448097}]}, {"cluster_id": 1, "points": [{"id": 3, "name": "Carol", "lat": 52.525626, "lon": 13.419246}, {"id": 4, "name": "Dan", "lat": 52.52443559865125, "lon": 13.41261723049818}]}, {"cluster_id": 1, "points": [{"id": 3, "name": "Carol", "lat": 52.525626, "lon": 13.419246}, {"id": 4, "name": "Dan", "lat": 52.52443559865125, "lon": 13.41261723049818}]}]