diff --git a/VERSION b/VERSION
index b616048..844f6a9 100644
--- a/VERSION
+++ b/VERSION
@@ -1 +1 @@
-0.6.2
+0.6.3
diff --git a/documentation/anomaly-detection.md b/documentation/anomaly-detection.md
index c6620a4..501096c 100644
--- a/documentation/anomaly-detection.md
+++ b/documentation/anomaly-detection.md
@@ -536,6 +536,17 @@ Labelled good 182 1636
Predicted harmful Predicted good
Labelled harmful 23 32
Labelled good 38 361
+
+# Filtering out node features.
+- Training
+Predicted harmful Predicted good
+Labelled harmful 0 0
+Labelled good 173 1549
+
+- Validation
+Predicted harmful Predicted good
+Labelled harmful 37 16
+Labelled good 36 341
```
```bash
diff --git a/gabbar/filters/highway.js b/gabbar/filters/highway.js
index 9656835..43414ab 100644
--- a/gabbar/filters/highway.js
+++ b/gabbar/filters/highway.js
@@ -23,6 +23,9 @@ function getSamples(changeset, forTraining) {
let newVersion = feature[0];
let oldVersion = feature[1];
+ let featureType = featureAttributes.getGeometryType(newVersion);
+ if (!forTraining && (featureType === 'node')) continue;
+
let nameModified = featureAttributes.isNameModified(newVersion, oldVersion);
// Skipping samples where a feature's name was modified.
if (!forTraining && nameModified === 1) continue;
diff --git a/gabbar/trained/model.pkl b/gabbar/trained/model.pkl
index 483dd38..f2b5b45 100644
Binary files a/gabbar/trained/model.pkl and b/gabbar/trained/model.pkl differ
diff --git a/notebooks/anomaly_detection.ipynb b/notebooks/anomaly_detection.ipynb
index b33434d..3357e23 100644
--- a/notebooks/anomaly_detection.ipynb
+++ b/notebooks/anomaly_detection.ipynb
@@ -113,7 +113,7 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "(2272, 15)\n"
+ "(2152, 15)\n"
]
},
{
@@ -143,64 +143,64 @@
" \n",
"
\n",
" \n",
- " 683 | \n",
- " 47515168 | \n",
+ " 404 | \n",
+ " 47575734 | \n",
" 1 | \n",
- " 185964339 | \n",
+ " 156419561 | \n",
" way | \n",
" 0 | \n",
" 1 | \n",
" 0 | \n",
- " 5 | \n",
+ " 3 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
- " 7001.98 | \n",
- " 0.00e+00 | \n",
+ " 1.54e+05 | \n",
+ " 0.26 | \n",
" 0 | \n",
"
\n",
" \n",
- " 2199 | \n",
- " 45428203 | \n",
- " 1 | \n",
- " 193562363 | \n",
+ " 34 | \n",
+ " 48669878 | \n",
+ " -1 | \n",
+ " 493400015 | \n",
" way | \n",
" 0 | \n",
" 1 | \n",
" 0 | \n",
- " 5 | \n",
- " 0 | \n",
+ " 2 | \n",
" 0 | \n",
" 0 | \n",
+ " -11 | \n",
" 0 | \n",
- " 157.14 | \n",
- " 2.56e-02 | \n",
+ " 3.86e+08 | \n",
+ " 4.41 | \n",
" 0 | \n",
"
\n",
" \n",
- " 2004 | \n",
- " 46477976 | \n",
+ " 1477 | \n",
+ " 47332182 | \n",
" 1 | \n",
- " 5639467 | \n",
- " relation | \n",
+ " 230536990 | \n",
+ " way | \n",
" 0 | \n",
" 1 | \n",
" 0 | \n",
- " 4 | \n",
+ " 3 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
- " 1098.37 | \n",
- " 0.00e+00 | \n",
+ " 1.04e+04 | \n",
+ " 0.08 | \n",
" 0 | \n",
"
\n",
" \n",
- " 389 | \n",
- " 47643353 | \n",
+ " 667 | \n",
+ " 47514240 | \n",
" 1 | \n",
- " 19152384 | \n",
+ " 276801936 | \n",
" way | \n",
" 0 | \n",
" 1 | \n",
@@ -210,116 +210,116 @@
" 0 | \n",
" 0 | \n",
" 0 | \n",
- " 1.18 | \n",
- " 7.00e-03 | \n",
+ " 2.05e+03 | \n",
+ " 0.09 | \n",
" 0 | \n",
"
\n",
" \n",
- " 1549 | \n",
- " 47307997 | \n",
+ " 1206 | \n",
+ " 47403158 | \n",
" 1 | \n",
- " 332091899 | \n",
+ " 4254638 | \n",
" way | \n",
" 0 | \n",
" 1 | \n",
" 0 | \n",
- " 2 | \n",
+ " 7 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
- " 37047.15 | \n",
- " 2.74e-01 | \n",
+ " 2.79e+04 | \n",
+ " 0.07 | \n",
" 0 | \n",
"
\n",
" \n",
- " 638 | \n",
- " 47531692 | \n",
+ " 1308 | \n",
+ " 47396441 | \n",
" 1 | \n",
- " 37853643 | \n",
+ " 152425775 | \n",
" way | \n",
" 0 | \n",
" 1 | \n",
" 0 | \n",
- " 11 | \n",
+ " 8 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
- " 235.31 | \n",
- " 1.20e-02 | \n",
+ " 3.68e+03 | \n",
+ " 0.10 | \n",
" 0 | \n",
"
\n",
" \n",
- " 1564 | \n",
- " 47307886 | \n",
+ " 1374 | \n",
+ " 47361800 | \n",
" 1 | \n",
- " 334204096 | \n",
+ " 31352992 | \n",
" way | \n",
" 0 | \n",
" 1 | \n",
" 0 | \n",
- " 2 | \n",
+ " 7 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
- " 28110.97 | \n",
- " 2.52e-01 | \n",
+ " 6.01e+04 | \n",
+ " 0.07 | \n",
" 0 | \n",
"
\n",
" \n",
- " 22 | \n",
- " 48837544 | \n",
- " -1 | \n",
- " 7541058 | \n",
+ " 60 | \n",
+ " 48448356 | \n",
+ " 1 | \n",
+ " 491741530 | \n",
" way | \n",
" 0 | \n",
" 1 | \n",
" 0 | \n",
- " 11 | \n",
+ " 2 | \n",
+ " 0 | \n",
" 0 | \n",
" 0 | \n",
- " -2 | \n",
" 0 | \n",
- " 6288.84 | \n",
- " 8.77e-02 | \n",
+ " 8.42e+01 | \n",
+ " 0.02 | \n",
" 0 | \n",
"
\n",
" \n",
- " 495 | \n",
- " 47540276 | \n",
+ " 972 | \n",
+ " 47455830 | \n",
" 1 | \n",
- " 54380529 | \n",
+ " 23037501 | \n",
" way | \n",
" 0 | \n",
" 1 | \n",
" 0 | \n",
- " 4 | \n",
+ " 11 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
- " 1360.13 | \n",
- " 4.53e-02 | \n",
+ " 7.81e+03 | \n",
+ " 0.08 | \n",
" 0 | \n",
"
\n",
" \n",
- " 248 | \n",
- " 47934663 | \n",
+ " 316 | \n",
+ " 47681593 | \n",
" 1 | \n",
- " 487836190 | \n",
+ " 134823721 | \n",
" way | \n",
" 0 | \n",
" 1 | \n",
" 0 | \n",
- " 3 | \n",
+ " 2 | \n",
+ " 0 | \n",
" 0 | \n",
" 0 | \n",
- " 1 | \n",
" 0 | \n",
- " 3540.37 | \n",
- " 3.22e-02 | \n",
+ " 3.25e+02 | \n",
+ " 0.03 | \n",
" 0 | \n",
"
\n",
" \n",
@@ -328,52 +328,52 @@
],
"text/plain": [
" changeset_id changeset_harmful feature_id feature_type action_create \\\n",
- "683 47515168 1 185964339 way 0 \n",
- "2199 45428203 1 193562363 way 0 \n",
- "2004 46477976 1 5639467 relation 0 \n",
- "389 47643353 1 19152384 way 0 \n",
- "1549 47307997 1 332091899 way 0 \n",
- "638 47531692 1 37853643 way 0 \n",
- "1564 47307886 1 334204096 way 0 \n",
- "22 48837544 -1 7541058 way 0 \n",
- "495 47540276 1 54380529 way 0 \n",
- "248 47934663 1 487836190 way 0 \n",
+ "404 47575734 1 156419561 way 0 \n",
+ "34 48669878 -1 493400015 way 0 \n",
+ "1477 47332182 1 230536990 way 0 \n",
+ "667 47514240 1 276801936 way 0 \n",
+ "1206 47403158 1 4254638 way 0 \n",
+ "1308 47396441 1 152425775 way 0 \n",
+ "1374 47361800 1 31352992 way 0 \n",
+ "60 48448356 1 491741530 way 0 \n",
+ "972 47455830 1 23037501 way 0 \n",
+ "316 47681593 1 134823721 way 0 \n",
"\n",
" action_modify action_delete feature_version highway_tag_created \\\n",
- "683 1 0 5 0 \n",
- "2199 1 0 5 0 \n",
- "2004 1 0 4 0 \n",
- "389 1 0 3 0 \n",
- "1549 1 0 2 0 \n",
- "638 1 0 11 0 \n",
- "1564 1 0 2 0 \n",
- "22 1 0 11 0 \n",
- "495 1 0 4 0 \n",
- "248 1 0 3 0 \n",
+ "404 1 0 3 0 \n",
+ "34 1 0 2 0 \n",
+ "1477 1 0 3 0 \n",
+ "667 1 0 3 0 \n",
+ "1206 1 0 7 0 \n",
+ "1308 1 0 8 0 \n",
+ "1374 1 0 7 0 \n",
+ "60 1 0 2 0 \n",
+ "972 1 0 11 0 \n",
+ "316 1 0 2 0 \n",
"\n",
" highway_tag_deleted highway_value_difference primary_tags_difference \\\n",
- "683 0 0 0 \n",
- "2199 0 0 0 \n",
- "2004 0 0 0 \n",
- "389 0 0 0 \n",
- "1549 0 0 0 \n",
- "638 0 0 0 \n",
- "1564 0 0 0 \n",
- "22 0 -2 0 \n",
- "495 0 0 0 \n",
- "248 0 1 0 \n",
+ "404 0 0 0 \n",
+ "34 0 -11 0 \n",
+ "1477 0 0 0 \n",
+ "667 0 0 0 \n",
+ "1206 0 0 0 \n",
+ "1308 0 0 0 \n",
+ "1374 0 0 0 \n",
+ "60 0 0 0 \n",
+ "972 0 0 0 \n",
+ "316 0 0 0 \n",
"\n",
" area_of_feature_bbox length_of_longest_segment feature_name_touched \n",
- "683 7001.98 0.00e+00 0 \n",
- "2199 157.14 2.56e-02 0 \n",
- "2004 1098.37 0.00e+00 0 \n",
- "389 1.18 7.00e-03 0 \n",
- "1549 37047.15 2.74e-01 0 \n",
- "638 235.31 1.20e-02 0 \n",
- "1564 28110.97 2.52e-01 0 \n",
- "22 6288.84 8.77e-02 0 \n",
- "495 1360.13 4.53e-02 0 \n",
- "248 3540.37 3.22e-02 0 "
+ "404 1.54e+05 0.26 0 \n",
+ "34 3.86e+08 4.41 0 \n",
+ "1477 1.04e+04 0.08 0 \n",
+ "667 2.05e+03 0.09 0 \n",
+ "1206 2.79e+04 0.07 0 \n",
+ "1308 3.68e+03 0.10 0 \n",
+ "1374 6.01e+04 0.07 0 \n",
+ "60 8.42e+01 0.02 0 \n",
+ "972 7.81e+03 0.08 0 \n",
+ "316 3.25e+02 0.03 0 "
]
},
"execution_count": 8,
@@ -399,8 +399,8 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "Shape before dropping duplicates: (2272, 15)\n",
- "Shape after dropping duplicates: (2272, 15)\n"
+ "Shape before dropping duplicates: (2152, 15)\n",
+ "Shape after dropping duplicates: (2152, 15)\n"
]
}
],
@@ -443,60 +443,60 @@
" \n",
" \n",
" count | \n",
- " 2.27e+03 | \n",
- " 2272.00 | \n",
- " 2.27e+03 | \n",
- " 2.27e+03 | \n",
- " 2272.00 | \n",
- " 2272.0 | \n",
- " 2272.00 | \n",
- " 2272.00 | \n",
- " 2272.00 | \n",
- " 2272.00 | \n",
- " 2272.00 | \n",
- " 2.27e+03 | \n",
- " 2272.00 | \n",
- " 2.27e+03 | \n",
+ " 2.15e+03 | \n",
+ " 2152.00 | \n",
+ " 2.15e+03 | \n",
+ " 2.15e+03 | \n",
+ " 2152.00 | \n",
+ " 2152.0 | \n",
+ " 2152.00 | \n",
+ " 2152.00 | \n",
+ " 2152.00 | \n",
+ " 2152.00 | \n",
+ " 2152.00 | \n",
+ " 2.15e+03 | \n",
+ " 2152.00 | \n",
+ " 2.15e+03 | \n",
"
\n",
" \n",
" mean | \n",
" 4.73e+07 | \n",
" 0.95 | \n",
- " 2.75e+08 | \n",
- " 2.64e-03 | \n",
+ " 1.80e+08 | \n",
+ " 2.79e-03 | \n",
" 1.00 | \n",
" 0.0 | \n",
- " 6.07 | \n",
- " 0.71 | \n",
+ " 6.10 | \n",
+ " 0.60 | \n",
" 0.36 | \n",
" 0.04 | \n",
- " 0.04 | \n",
- " 1.66e+07 | \n",
- " 0.16 | \n",
- " 4.40e-04 | \n",
+ " 0.02 | \n",
+ " 1.76e+07 | \n",
+ " 0.17 | \n",
+ " 4.65e-04 | \n",
"
\n",
" \n",
" std | \n",
- " 6.79e+05 | \n",
+ " 6.57e+05 | \n",
" 0.31 | \n",
- " 5.94e+08 | \n",
- " 5.13e-02 | \n",
+ " 1.64e+08 | \n",
+ " 5.27e-02 | \n",
" 0.05 | \n",
" 0.0 | \n",
- " 5.32 | \n",
- " 4.34 | \n",
- " 3.25 | \n",
- " 2.20 | \n",
- " 0.24 | \n",
- " 3.24e+08 | \n",
- " 1.07 | \n",
- " 2.10e-02 | \n",
+ " 5.35 | \n",
+ " 4.21 | \n",
+ " 3.31 | \n",
+ " 2.23 | \n",
+ " 0.18 | \n",
+ " 3.33e+08 | \n",
+ " 1.10 | \n",
+ " 2.16e-02 | \n",
"
\n",
" \n",
" min | \n",
" 4.48e+07 | \n",
" -1.00 | \n",
- " 1.73e+05 | \n",
+ " 2.08e+06 | \n",
" 0.00e+00 | \n",
" 0.00 | \n",
" 0.0 | \n",
@@ -505,7 +505,7 @@
" 0.00 | \n",
" -26.00 | \n",
" -1.00 | \n",
- " 0.00e+00 | \n",
+ " 1.76e-02 | \n",
" 0.00 | \n",
" 0.00e+00 | \n",
"
\n",
@@ -513,7 +513,7 @@
" 25% | \n",
" 4.73e+07 | \n",
" 1.00 | \n",
- " 2.89e+07 | \n",
+ " 2.81e+07 | \n",
" 0.00e+00 | \n",
" 1.00 | \n",
" 0.0 | \n",
@@ -522,15 +522,15 @@
" 0.00 | \n",
" 0.00 | \n",
" 0.00 | \n",
- " 3.91e+02 | \n",
- " 0.02 | \n",
+ " 5.44e+02 | \n",
+ " 0.03 | \n",
" 0.00e+00 | \n",
" \n",
" \n",
" 50% | \n",
" 4.74e+07 | \n",
" 1.00 | \n",
- " 1.48e+08 | \n",
+ " 1.35e+08 | \n",
" 0.00e+00 | \n",
" 1.00 | \n",
" 0.0 | \n",
@@ -539,7 +539,7 @@
" 0.00 | \n",
" 0.00 | \n",
" 0.00 | \n",
- " 3.24e+03 | \n",
+ " 3.99e+03 | \n",
" 0.06 | \n",
" 0.00e+00 | \n",
"
\n",
@@ -547,7 +547,7 @@
" 75% | \n",
" 4.75e+07 | \n",
" 1.00 | \n",
- " 3.34e+08 | \n",
+ " 3.29e+08 | \n",
" 0.00e+00 | \n",
" 1.00 | \n",
" 0.0 | \n",
@@ -556,7 +556,7 @@
" 0.00 | \n",
" 0.00 | \n",
" 0.00 | \n",
- " 2.25e+04 | \n",
+ " 2.50e+04 | \n",
" 0.11 | \n",
" 0.00e+00 | \n",
" \n",
@@ -564,7 +564,7 @@
" max | \n",
" 4.97e+07 | \n",
" 1.00 | \n",
- " 4.85e+09 | \n",
+ " 5.01e+08 | \n",
" 1.00e+00 | \n",
" 1.00 | \n",
" 0.0 | \n",
@@ -583,19 +583,19 @@
],
"text/plain": [
" changeset_id changeset_harmful feature_id action_create \\\n",
- "count 2.27e+03 2272.00 2.27e+03 2.27e+03 \n",
- "mean 4.73e+07 0.95 2.75e+08 2.64e-03 \n",
- "std 6.79e+05 0.31 5.94e+08 5.13e-02 \n",
- "min 4.48e+07 -1.00 1.73e+05 0.00e+00 \n",
- "25% 4.73e+07 1.00 2.89e+07 0.00e+00 \n",
- "50% 4.74e+07 1.00 1.48e+08 0.00e+00 \n",
- "75% 4.75e+07 1.00 3.34e+08 0.00e+00 \n",
- "max 4.97e+07 1.00 4.85e+09 1.00e+00 \n",
+ "count 2.15e+03 2152.00 2.15e+03 2.15e+03 \n",
+ "mean 4.73e+07 0.95 1.80e+08 2.79e-03 \n",
+ "std 6.57e+05 0.31 1.64e+08 5.27e-02 \n",
+ "min 4.48e+07 -1.00 2.08e+06 0.00e+00 \n",
+ "25% 4.73e+07 1.00 2.81e+07 0.00e+00 \n",
+ "50% 4.74e+07 1.00 1.35e+08 0.00e+00 \n",
+ "75% 4.75e+07 1.00 3.29e+08 0.00e+00 \n",
+ "max 4.97e+07 1.00 5.01e+08 1.00e+00 \n",
"\n",
" action_modify action_delete feature_version highway_tag_created \\\n",
- "count 2272.00 2272.0 2272.00 2272.00 \n",
- "mean 1.00 0.0 6.07 0.71 \n",
- "std 0.05 0.0 5.32 4.34 \n",
+ "count 2152.00 2152.0 2152.00 2152.00 \n",
+ "mean 1.00 0.0 6.10 0.60 \n",
+ "std 0.05 0.0 5.35 4.21 \n",
"min 0.00 0.0 2.00 0.00 \n",
"25% 1.00 0.0 3.00 0.00 \n",
"50% 1.00 0.0 4.00 0.00 \n",
@@ -603,9 +603,9 @@
"max 1.00 0.0 62.00 42.00 \n",
"\n",
" highway_tag_deleted highway_value_difference primary_tags_difference \\\n",
- "count 2272.00 2272.00 2272.00 \n",
- "mean 0.36 0.04 0.04 \n",
- "std 3.25 2.20 0.24 \n",
+ "count 2152.00 2152.00 2152.00 \n",
+ "mean 0.36 0.04 0.02 \n",
+ "std 3.31 2.23 0.18 \n",
"min 0.00 -26.00 -1.00 \n",
"25% 0.00 0.00 0.00 \n",
"50% 0.00 0.00 0.00 \n",
@@ -613,13 +613,13 @@
"max 42.00 22.00 3.00 \n",
"\n",
" area_of_feature_bbox length_of_longest_segment feature_name_touched \n",
- "count 2.27e+03 2272.00 2.27e+03 \n",
- "mean 1.66e+07 0.16 4.40e-04 \n",
- "std 3.24e+08 1.07 2.10e-02 \n",
- "min 0.00e+00 0.00 0.00e+00 \n",
- "25% 3.91e+02 0.02 0.00e+00 \n",
- "50% 3.24e+03 0.06 0.00e+00 \n",
- "75% 2.25e+04 0.11 0.00e+00 \n",
+ "count 2.15e+03 2152.00 2.15e+03 \n",
+ "mean 1.76e+07 0.17 4.65e-04 \n",
+ "std 3.33e+08 1.10 2.16e-02 \n",
+ "min 1.76e-02 0.00 0.00e+00 \n",
+ "25% 5.44e+02 0.03 0.00e+00 \n",
+ "50% 3.99e+03 0.06 0.00e+00 \n",
+ "75% 2.50e+04 0.11 0.00e+00 \n",
"max 1.28e+10 30.89 1.00e+00 "
]
},
@@ -640,17 +640,17 @@
{
"data": {
"text/plain": [
- "changeset_id 1.08e+11\n",
- "changeset_harmful 2.16e+03\n",
- "feature_id 6.24e+11\n",
+ "changeset_id 1.02e+11\n",
+ "changeset_harmful 2.05e+03\n",
+ "feature_id 3.87e+11\n",
"action_create 6.00e+00\n",
- "action_modify 2.27e+03\n",
+ "action_modify 2.15e+03\n",
"action_delete 0.00e+00\n",
- "feature_version 1.38e+04\n",
- "highway_tag_created 1.62e+03\n",
- "highway_tag_deleted 8.21e+02\n",
- "highway_value_difference 9.10e+01\n",
- "primary_tags_difference 8.00e+01\n",
+ "feature_version 1.31e+04\n",
+ "highway_tag_created 1.29e+03\n",
+ "highway_tag_deleted 7.79e+02\n",
+ "highway_value_difference 9.40e+01\n",
+ "primary_tags_difference 4.20e+01\n",
"area_of_feature_bbox 3.78e+10\n",
"length_of_longest_segment 3.62e+02\n",
"feature_name_touched 1.00e+00\n",
@@ -675,8 +675,8 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "Total inliers: (2217, 15)\n",
- "Total outliers: (55, 15)\n"
+ "Total inliers: (2099, 15)\n",
+ "Total outliers: (53, 15)\n"
]
}
],
@@ -697,9 +697,9 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "Training dataset (only inliers): (1818, 15)\n",
- "Validation dataset (only inliers): (399, 15)\n",
- "Validation dataset (inliers + outliers): (454, 15)\n"
+ "Training dataset (only inliers): (1722, 15)\n",
+ "Validation dataset (only inliers): (377, 15)\n",
+ "Validation dataset (inliers + outliers): (430, 15)\n"
]
}
],
@@ -767,7 +767,9 @@
{
"cell_type": "code",
"execution_count": 16,
- "metadata": {},
+ "metadata": {
+ "collapsed": true
+ },
"outputs": [],
"source": [
"training['prediction'] = model.predict(X)\n",
@@ -821,8 +823,8 @@
" \n",
" \n",
" Labelled good | \n",
- " 182 | \n",
- " 1636 | \n",
+ " 173 | \n",
+ " 1549 | \n",
"
\n",
" \n",
"\n",
@@ -831,7 +833,7 @@
"text/plain": [
" Predicted harmful Predicted good\n",
"Labelled harmful 0 0\n",
- "Labelled good 182 1636"
+ "Labelled good 173 1549"
]
},
"execution_count": 18,
@@ -857,9 +859,9 @@
" precision recall f1-score support\n",
"\n",
" -1 0.00 0.00 0.00 0\n",
- " 1 1.00 0.90 0.95 1818\n",
+ " 1 1.00 0.90 0.95 1722\n",
"\n",
- "avg / total 1.00 0.90 0.95 1818\n",
+ "avg / total 1.00 0.90 0.95 1722\n",
"\n"
]
}
@@ -888,7 +890,7 @@
" \n",
" \n",
" count | \n",
- " 1818.00 | \n",
+ " 1722.00 | \n",
"
\n",
" \n",
" mean | \n",
@@ -896,7 +898,7 @@
"
\n",
" \n",
" std | \n",
- " 0.07 | \n",
+ " 0.06 | \n",
"
\n",
" \n",
" min | \n",
@@ -904,11 +906,11 @@
"
\n",
" \n",
" 25% | \n",
- " 0.17 | \n",
+ " 0.16 | \n",
"
\n",
" \n",
" 50% | \n",
- " 0.19 | \n",
+ " 0.18 | \n",
"
\n",
" \n",
" 75% | \n",
@@ -924,12 +926,12 @@
],
"text/plain": [
" score\n",
- "count 1818.00\n",
+ "count 1722.00\n",
"mean 0.16\n",
- "std 0.07\n",
+ "std 0.06\n",
"min -0.27\n",
- "25% 0.17\n",
- "50% 0.19\n",
+ "25% 0.16\n",
+ "50% 0.18\n",
"75% 0.19\n",
"max 0.19"
]
@@ -940,9 +942,9 @@
},
{
"data": {
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06dMZo7VJVVXp1k0J25hTTz01p556arPHoN2G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\n3vfmlFNOSbdu3TZ4fFVVqapqvY99+MMfzuGHH55rr702999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"text/plain": [
- ""
+ ""
]
},
"metadata": {
@@ -979,8 +981,8 @@
"data": {
"text/plain": [
"changeset_harmful\n",
- "-1 55\n",
- " 1 399\n",
+ "-1 53\n",
+ " 1 377\n",
"dtype: int64"
]
},
@@ -1039,13 +1041,13 @@
" \n",
" \n",
" Labelled harmful | \n",
- " 36 | \n",
- " 19 | \n",
+ " 37 | \n",
+ " 16 | \n",
"
\n",
" \n",
" Labelled good | \n",
- " 41 | \n",
- " 358 | \n",
+ " 36 | \n",
+ " 341 | \n",
"
\n",
" \n",
"\n",
@@ -1053,8 +1055,8 @@
],
"text/plain": [
" Predicted harmful Predicted good\n",
- "Labelled harmful 36 19\n",
- "Labelled good 41 358"
+ "Labelled harmful 37 16\n",
+ "Labelled good 36 341"
]
},
"execution_count": 24,
@@ -1079,10 +1081,10 @@
"text": [
" precision recall f1-score support\n",
"\n",
- " -1 0.47 0.65 0.55 55\n",
- " 1 0.95 0.90 0.92 399\n",
+ " -1 0.51 0.70 0.59 53\n",
+ " 1 0.96 0.90 0.93 377\n",
"\n",
- "avg / total 0.89 0.87 0.88 454\n",
+ "avg / total 0.90 0.88 0.89 430\n",
"\n"
]
}
@@ -1111,7 +1113,7 @@
" \n",
" \n",
" count | \n",
- " 454.00 | \n",
+ " 430.00 | \n",
"
\n",
" \n",
" mean | \n",
@@ -1123,11 +1125,11 @@
"
\n",
" \n",
" min | \n",
- " -0.24 | \n",
+ " -0.25 | \n",
"
\n",
" \n",
" 25% | \n",
- " 0.15 | \n",
+ " 0.14 | \n",
"
\n",
" \n",
" 50% | \n",
@@ -1147,11 +1149,11 @@
],
"text/plain": [
" score\n",
- "count 454.00\n",
+ "count 430.00\n",
"mean 0.14\n",
"std 0.09\n",
- "min -0.24\n",
- "25% 0.15\n",
+ "min -0.25\n",
+ "25% 0.14\n",
"50% 0.18\n",
"75% 0.19\n",
"max 0.19"
@@ -1163,15 +1165,15 @@
},
{
"data": {
- "image/png": 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AAAASIhQGAAAAAEiIUBgAAAAAICFCYQAAAACAhAiFAQAA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\nREQsXry4wau7Z8+eHVmWxYABAwq+74EHHlh3/+um9FCWZVF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- " 49176254 | \n",
+ " 115 | \n",
+ " 49175728 | \n",
" NaN | \n",
- " 383568919 | \n",
+ " 491181958 | \n",
" way | \n",
" 0 | \n",
" 1 | \n",
" 0 | \n",
- " 2 | \n",
+ " 4 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
- " 34223.55 | \n",
- " 0.08 | \n",
+ " 12.45 | \n",
+ " 0.00e+00 | \n",
" 0 | \n",
"
\n",
" \n",
@@ -1426,52 +1428,52 @@
],
"text/plain": [
" changeset_id changeset_harmful feature_id feature_type action_create \\\n",
- "170 49173915 NaN 4890387622 node 1 \n",
- "157 49174472 NaN 66730509 way 0 \n",
- "83 49177219 NaN 49455864 way 0 \n",
- "93 49176720 NaN 125299795 way 0 \n",
- "137 49175123 NaN 497489531 way 0 \n",
- "64 49177883 NaN 437292804 way 0 \n",
- "81 49177247 NaN 207759084 way 0 \n",
- "114 49176060 NaN 136990669 way 0 \n",
- "62 49177914 NaN 109724035 way 0 \n",
- "106 49176254 NaN 383568919 way 0 \n",
+ "156 49173584 NaN 202305617 way 0 \n",
+ "225 49171835 NaN 311632827 way 0 \n",
+ "243 49171344 NaN 118631892 way 0 \n",
+ "91 49176643 NaN 198877204 way 0 \n",
+ "97 49176385 NaN 447119456 way 0 \n",
+ "198 49172388 NaN 83537207 way 0 \n",
+ "50 49178363 NaN 309626776 way 0 \n",
+ "67 49177712 NaN 462182357 way 0 \n",
+ "147 49174264 NaN 6150943 way 0 \n",
+ "115 49175728 NaN 491181958 way 0 \n",
"\n",
" action_modify action_delete feature_version highway_tag_created \\\n",
- "170 0 0 1 7 \n",
- "157 1 0 13 0 \n",
- "83 1 0 9 0 \n",
- "93 1 0 6 0 \n",
- "137 1 0 2 0 \n",
- "64 1 0 3 0 \n",
- "81 1 0 4 0 \n",
- "114 1 0 8 0 \n",
- "62 1 0 2 0 \n",
- "106 1 0 2 0 \n",
+ "156 1 0 5 0 \n",
+ "225 1 0 2 0 \n",
+ "243 1 0 5 0 \n",
+ "91 1 0 4 0 \n",
+ "97 1 0 3 0 \n",
+ "198 1 0 2 0 \n",
+ "50 1 0 3 0 \n",
+ "67 1 0 2 0 \n",
+ "147 1 0 6 0 \n",
+ "115 1 0 4 0 \n",
"\n",
" highway_tag_deleted highway_value_difference primary_tags_difference \\\n",
- "170 0 0 1 \n",
- "157 0 0 0 \n",
- "83 0 0 0 \n",
- "93 0 0 0 \n",
- "137 0 0 0 \n",
- "64 0 0 0 \n",
- "81 0 0 0 \n",
- "114 0 0 0 \n",
- "62 0 1 0 \n",
- "106 0 0 0 \n",
+ "156 0 0 0 \n",
+ "225 0 0 0 \n",
+ "243 0 0 0 \n",
+ "91 0 0 0 \n",
+ "97 0 0 0 \n",
+ "198 0 -1 0 \n",
+ "50 0 -1 0 \n",
+ "67 0 0 0 \n",
+ "147 0 0 0 \n",
+ "115 0 0 0 \n",
"\n",
" area_of_feature_bbox length_of_longest_segment feature_name_touched \n",
- "170 0.00 0.00 0 \n",
- "157 32688.76 0.06 0 \n",
- "83 43161.67 0.07 0 \n",
- "93 1066.76 0.17 0 \n",
- "137 14062.08 0.09 0 \n",
- "64 59725.69 0.03 0 \n",
- "81 74643.49 0.06 0 \n",
- "114 156.06 0.07 0 \n",
- "62 20109.72 0.15 0 \n",
- "106 34223.55 0.08 0 "
+ "156 24559.06 1.23e-01 0 \n",
+ "225 122.33 8.50e-03 0 \n",
+ "243 3817.23 2.70e-02 0 \n",
+ "91 20681.42 1.24e-01 0 \n",
+ "97 20420.57 4.99e-02 0 \n",
+ "198 673.00 3.73e-02 0 \n",
+ "50 284.28 2.75e-02 0 \n",
+ "67 43272.35 2.68e-02 0 \n",
+ "147 5877.39 4.00e-01 0 \n",
+ "115 12.45 0.00e+00 0 "
]
},
"execution_count": 28,
@@ -1494,8 +1496,8 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "Shape before dropping duplicates: (288, 15)\n",
- "Shape after dropping duplicates: (288, 15)\n"
+ "Shape before dropping duplicates: (260, 15)\n",
+ "Shape after dropping duplicates: (260, 15)\n"
]
}
],
@@ -1550,54 +1552,54 @@
" \n",
" \n",
" count | \n",
- " 2.88e+02 | \n",
+ " 2.60e+02 | \n",
" 0.0 | \n",
- " 2.88e+02 | \n",
- " 288.00 | \n",
- " 288.00 | \n",
- " 288.00 | \n",
- " 288.00 | \n",
- " 288.00 | \n",
- " 288.00 | \n",
- " 288.00 | \n",
- " 288.00 | \n",
- " 2.88e+02 | \n",
- " 288.00 | \n",
- " 288.00 | \n",
+ " 2.60e+02 | \n",
+ " 260.00 | \n",
+ " 260.00 | \n",
+ " 260.00 | \n",
+ " 260.00 | \n",
+ " 260.00 | \n",
+ " 260.00 | \n",
+ " 260.00 | \n",
+ " 260.00 | \n",
+ " 2.60e+02 | \n",
+ " 260.00 | \n",
+ " 2.60e+02 | \n",
"
\n",
" \n",
" mean | \n",
" 4.92e+07 | \n",
" NaN | \n",
- " 5.11e+08 | \n",
- " 0.04 | \n",
- " 0.95 | \n",
+ " 2.63e+08 | \n",
+ " 0.02 | \n",
+ " 0.97 | \n",
" 0.01 | \n",
- " 4.67 | \n",
- " 1.65 | \n",
- " 1.28 | \n",
- " -0.89 | \n",
- " 0.06 | \n",
- " 2.69e+06 | \n",
- " 0.11 | \n",
+ " 4.72 | \n",
+ " 1.42 | \n",
+ " 1.32 | \n",
+ " -0.99 | \n",
" 0.01 | \n",
+ " 2.98e+06 | \n",
+ " 0.12 | \n",
+ " 3.85e-03 | \n",
"
\n",
" \n",
" std | \n",
- " 2.88e+03 | \n",
+ " 2.93e+03 | \n",
" NaN | \n",
- " 1.02e+09 | \n",
- " 0.19 | \n",
- " 0.22 | \n",
- " 0.12 | \n",
+ " 1.77e+08 | \n",
+ " 0.15 | \n",
+ " 0.18 | \n",
+ " 0.11 | \n",
" 3.92 | \n",
- " 6.43 | \n",
- " 6.26 | \n",
- " 4.67 | \n",
- " 0.37 | \n",
- " 2.57e+07 | \n",
- " 0.26 | \n",
- " 0.12 | \n",
+ " 6.47 | \n",
+ " 6.50 | \n",
+ " 4.90 | \n",
+ " 0.28 | \n",
+ " 2.70e+07 | \n",
+ " 0.27 | \n",
+ " 6.20e-02 | \n",
"
\n",
" \n",
" min | \n",
@@ -1612,15 +1614,15 @@
" 0.00 | \n",
" -35.00 | \n",
" -1.00 | \n",
- " 0.00e+00 | \n",
- " 0.00 | \n",
+ " 1.95e+00 | \n",
" 0.00 | \n",
+ " 0.00e+00 | \n",
"
\n",
" \n",
" 25% | \n",
" 4.92e+07 | \n",
" NaN | \n",
- " 1.03e+08 | \n",
+ " 9.83e+07 | \n",
" 0.00 | \n",
" 1.00 | \n",
" 0.00 | \n",
@@ -1629,15 +1631,15 @@
" 0.00 | \n",
" 0.00 | \n",
" 0.00 | \n",
- " 4.09e+02 | \n",
- " 0.02 | \n",
- " 0.00 | \n",
+ " 9.02e+02 | \n",
+ " 0.03 | \n",
+ " 0.00e+00 | \n",
"
\n",
" \n",
" 50% | \n",
" 4.92e+07 | \n",
" NaN | \n",
- " 3.05e+08 | \n",
+ " 2.56e+08 | \n",
" 0.00 | \n",
" 1.00 | \n",
" 0.00 | \n",
@@ -1646,15 +1648,15 @@
" 0.00 | \n",
" 0.00 | \n",
" 0.00 | \n",
- " 4.57e+03 | \n",
- " 0.05 | \n",
- " 0.00 | \n",
+ " 6.61e+03 | \n",
+ " 0.06 | \n",
+ " 0.00e+00 | \n",
"
\n",
" \n",
" 75% | \n",
" 4.92e+07 | \n",
" NaN | \n",
- " 4.54e+08 | \n",
+ " 4.39e+08 | \n",
" 0.00 | \n",
" 1.00 | \n",
" 0.00 | \n",
@@ -1663,15 +1665,15 @@
" 0.00 | \n",
" 0.00 | \n",
" 0.00 | \n",
- " 3.82e+04 | \n",
- " 0.10 | \n",
- " 0.00 | \n",
+ " 4.30e+04 | \n",
+ " 0.12 | \n",
+ " 0.00e+00 | \n",
"
\n",
" \n",
" max | \n",
" 4.92e+07 | \n",
" NaN | \n",
- " 4.89e+09 | \n",
+ " 4.98e+08 | \n",
" 1.00 | \n",
" 1.00 | \n",
" 1.00 | \n",
@@ -1679,10 +1681,10 @@
" 41.00 | \n",
" 37.00 | \n",
" 16.00 | \n",
- " 2.00 | \n",
+ " 1.00 | \n",
" 4.04e+08 | \n",
" 3.02 | \n",
- " 1.00 | \n",
+ " 1.00e+00 | \n",
"
\n",
" \n",
"\n",
@@ -1690,19 +1692,19 @@
],
"text/plain": [
" changeset_id changeset_harmful feature_id action_create \\\n",
- "count 2.88e+02 0.0 2.88e+02 288.00 \n",
- "mean 4.92e+07 NaN 5.11e+08 0.04 \n",
- "std 2.88e+03 NaN 1.02e+09 0.19 \n",
+ "count 2.60e+02 0.0 2.60e+02 260.00 \n",
+ "mean 4.92e+07 NaN 2.63e+08 0.02 \n",
+ "std 2.93e+03 NaN 1.77e+08 0.15 \n",
"min 4.92e+07 NaN 4.31e+06 0.00 \n",
- "25% 4.92e+07 NaN 1.03e+08 0.00 \n",
- "50% 4.92e+07 NaN 3.05e+08 0.00 \n",
- "75% 4.92e+07 NaN 4.54e+08 0.00 \n",
- "max 4.92e+07 NaN 4.89e+09 1.00 \n",
+ "25% 4.92e+07 NaN 9.83e+07 0.00 \n",
+ "50% 4.92e+07 NaN 2.56e+08 0.00 \n",
+ "75% 4.92e+07 NaN 4.39e+08 0.00 \n",
+ "max 4.92e+07 NaN 4.98e+08 1.00 \n",
"\n",
" action_modify action_delete feature_version highway_tag_created \\\n",
- "count 288.00 288.00 288.00 288.00 \n",
- "mean 0.95 0.01 4.67 1.65 \n",
- "std 0.22 0.12 3.92 6.43 \n",
+ "count 260.00 260.00 260.00 260.00 \n",
+ "mean 0.97 0.01 4.72 1.42 \n",
+ "std 0.18 0.11 3.92 6.47 \n",
"min 0.00 0.00 1.00 0.00 \n",
"25% 1.00 0.00 2.00 0.00 \n",
"50% 1.00 0.00 3.00 0.00 \n",
@@ -1710,24 +1712,24 @@
"max 1.00 1.00 28.00 41.00 \n",
"\n",
" highway_tag_deleted highway_value_difference primary_tags_difference \\\n",
- "count 288.00 288.00 288.00 \n",
- "mean 1.28 -0.89 0.06 \n",
- "std 6.26 4.67 0.37 \n",
+ "count 260.00 260.00 260.00 \n",
+ "mean 1.32 -0.99 0.01 \n",
+ "std 6.50 4.90 0.28 \n",
"min 0.00 -35.00 -1.00 \n",
"25% 0.00 0.00 0.00 \n",
"50% 0.00 0.00 0.00 \n",
"75% 0.00 0.00 0.00 \n",
- "max 37.00 16.00 2.00 \n",
+ "max 37.00 16.00 1.00 \n",
"\n",
" area_of_feature_bbox length_of_longest_segment feature_name_touched \n",
- "count 2.88e+02 288.00 288.00 \n",
- "mean 2.69e+06 0.11 0.01 \n",
- "std 2.57e+07 0.26 0.12 \n",
- "min 0.00e+00 0.00 0.00 \n",
- "25% 4.09e+02 0.02 0.00 \n",
- "50% 4.57e+03 0.05 0.00 \n",
- "75% 3.82e+04 0.10 0.00 \n",
- "max 4.04e+08 3.02 1.00 "
+ "count 2.60e+02 260.00 2.60e+02 \n",
+ "mean 2.98e+06 0.12 3.85e-03 \n",
+ "std 2.70e+07 0.27 6.20e-02 \n",
+ "min 1.95e+00 0.00 0.00e+00 \n",
+ "25% 9.02e+02 0.03 0.00e+00 \n",
+ "50% 6.61e+03 0.06 0.00e+00 \n",
+ "75% 4.30e+04 0.12 0.00e+00 \n",
+ "max 4.04e+08 3.02 1.00e+00 "
]
},
"execution_count": 31,
@@ -1747,20 +1749,20 @@
{
"data": {
"text/plain": [
- "changeset_id 1.42e+10\n",
+ "changeset_id 1.28e+10\n",
"changeset_harmful 0.00e+00\n",
- "feature_id 1.47e+11\n",
- "action_create 1.10e+01\n",
- "action_modify 2.73e+02\n",
- "action_delete 4.00e+00\n",
- "feature_version 1.34e+03\n",
- "highway_tag_created 4.74e+02\n",
- "highway_tag_deleted 3.70e+02\n",
- "highway_value_difference -2.57e+02\n",
- "primary_tags_difference 1.70e+01\n",
+ "feature_id 6.83e+10\n",
+ "action_create 6.00e+00\n",
+ "action_modify 2.51e+02\n",
+ "action_delete 3.00e+00\n",
+ "feature_version 1.23e+03\n",
+ "highway_tag_created 3.70e+02\n",
+ "highway_tag_deleted 3.44e+02\n",
+ "highway_value_difference -2.58e+02\n",
+ "primary_tags_difference 3.00e+00\n",
"area_of_feature_bbox 7.75e+08\n",
"length_of_longest_segment 3.24e+01\n",
- "feature_name_touched 4.00e+00\n",
+ "feature_name_touched 1.00e+00\n",
"dtype: float64"
]
},
@@ -1808,9 +1810,9 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "Predicted good: 221\n",
- "Predicted harmful: 67\n",
- "Percentage harmful: 23.26%\n"
+ "Predicted good: 206\n",
+ "Predicted harmful: 54\n",
+ "Percentage harmful: 20.77%\n"
]
}
],
@@ -1843,7 +1845,7 @@
" \n",
" \n",
" count | \n",
- " 288.00 | \n",
+ " 260.00 | \n",
"
\n",
" \n",
" mean | \n",
@@ -1851,11 +1853,11 @@
"
\n",
" \n",
" std | \n",
- " 0.10 | \n",
+ " 0.09 | \n",
"
\n",
" \n",
" min | \n",
- " -0.20 | \n",
+ " -0.23 | \n",
"
\n",
" \n",
" 25% | \n",
@@ -1879,10 +1881,10 @@
],
"text/plain": [
" score\n",
- "count 288.00\n",
+ "count 260.00\n",
"mean 0.13\n",
- "std 0.10\n",
- "min -0.20\n",
+ "std 0.09\n",
+ "min -0.23\n",
"25% 0.12\n",
"50% 0.18\n",
"75% 0.19\n",
@@ -1895,9 +1897,9 @@
},
{
"data": {
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CKcZeu/fee2PixIkNzq3Kysq49957m1wbhZGr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\n5ZU4++yz429/+1skSRJnnnlm3HLLLXWe/RtRXHNNKNzCHHH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KTyH6ZNu2bXHhhRfGb37zm10+13mex7777hvX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\nqt5zV69eHWvXro2IMCsKrFB90hJmSfkpxz4xT8pPofvkxRd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"text/plain": [
- ""
+ ""
]
},
"metadata": {
diff --git a/tests/fixtures/changesets/50167186.json b/tests/fixtures/changesets/50167186.json
new file mode 100644
index 0000000..e79437c
--- /dev/null
+++ b/tests/fixtures/changesets/50167186.json
@@ -0,0 +1,31 @@
+{
+ "type": "FeatureCollection",
+ "features": [
+ {
+ "type": "Feature",
+ "properties": {
+ "id": "4961098629",
+ "version": "1",
+ "timestamp": "2017-07-10T06:50:11Z",
+ "changeset": "50167186",
+ "uid": "1859838",
+ "user": "Shl-EF",
+ "action": "create",
+ "type": "node",
+ "tags": {
+ "emergency_telephone_code": "112",
+ "highway": "emergency_access_point",
+ "ref": "SON 6145"
+ },
+ "changeType": "added"
+ },
+ "geometry": {
+ "type": "Point",
+ "coordinates": [
+ 11.0292429,
+ 50.505238
+ ]
+ }
+ }
+ ]
+}
diff --git a/tests/fixtures/real_changesets/50167186.json b/tests/fixtures/real_changesets/50167186.json
new file mode 100644
index 0000000..e62387b
--- /dev/null
+++ b/tests/fixtures/real_changesets/50167186.json
@@ -0,0 +1,56 @@
+{
+ "elements": [
+ {
+ "id": "4961098629",
+ "lat": "50.5052380",
+ "lon": "11.0292429",
+ "version": "1",
+ "timestamp": "2017-07-10T06:50:11Z",
+ "changeset": "50167186",
+ "uid": "1859838",
+ "user": "Shl-EF",
+ "action": "create",
+ "type": "node",
+ "tags": {
+ "emergency_telephone_code": "112",
+ "highway": "emergency_access_point",
+ "ref": "SON 6145"
+ }
+ }
+ ],
+ "metadata": {
+ "id": "50167186",
+ "created_at": "2017-07-10T06:50:11Z",
+ "closed_at": "2017-07-10T06:50:11Z",
+ "open": "false",
+ "user": "Shl-EF",
+ "uid": "1859838",
+ "min_lat": "50.5052380",
+ "min_lon": "11.0292429",
+ "max_lat": "50.5052380",
+ "max_lon": "11.0292429",
+ "comments_count": "0",
+ "tag": [
+ {
+ "k": "comment",
+ "v": "Rettungspunkt"
+ },
+ {
+ "k": "locale",
+ "v": "de"
+ },
+ {
+ "k": "host",
+ "v": "https://www.openstreetmap.org/edit"
+ },
+ {
+ "k": "imagery_used",
+ "v": "Bing aerial imagery;Local GPX"
+ },
+ {
+ "k": "created_by",
+ "v": "iD 2.3.0"
+ }
+ ]
+ }
+}
diff --git a/tests/fixtures/users/Shl-EF.json b/tests/fixtures/users/Shl-EF.json
new file mode 100644
index 0000000..493d730
--- /dev/null
+++ b/tests/fixtures/users/Shl-EF.json
@@ -0,0 +1,774 @@
+{
+ "id": 1859838,
+ "name": "Shl-EF",
+ "first_edit": "2013-12-29T10:13:58.000Z",
+ "changeset_count": 3417,
+ "num_changes": 30346,
+ "extra": {
+ "total_discussions": "0",
+ "changesets_with_discussions": "0",
+ "mapping_days": "189",
+ "edit_frequency": [
+ {
+ "day": "2013-12-29T00:00:00.000Z",
+ "count": "16"
+ },
+ {
+ "day": "2013-12-30T00:00:00.000Z",
+ "count": "68"
+ },
+ {
+ "day": "2013-12-31T00:00:00.000Z",
+ "count": "75"
+ },
+ {
+ "day": "2014-01-01T00:00:00.000Z",
+ "count": "145"
+ },
+ {
+ "day": "2014-01-02T00:00:00.000Z",
+ "count": "75"
+ },
+ {
+ "day": "2014-01-03T00:00:00.000Z",
+ "count": "19"
+ },
+ {
+ "day": "2014-01-04T00:00:00.000Z",
+ "count": "2"
+ },
+ {
+ "day": "2014-01-06T00:00:00.000Z",
+ "count": "11"
+ },
+ {
+ "day": "2014-01-07T00:00:00.000Z",
+ "count": "1"
+ },
+ {
+ "day": "2014-01-14T00:00:00.000Z",
+ "count": "1"
+ },
+ {
+ "day": "2014-01-19T00:00:00.000Z",
+ "count": "32"
+ },
+ {
+ "day": "2014-01-20T00:00:00.000Z",
+ "count": "1"
+ },
+ {
+ "day": "2014-01-25T00:00:00.000Z",
+ "count": "4"
+ },
+ {
+ "day": "2014-01-26T00:00:00.000Z",
+ "count": "8"
+ },
+ {
+ "day": "2014-01-27T00:00:00.000Z",
+ "count": "10"
+ },
+ {
+ "day": "2014-01-29T00:00:00.000Z",
+ "count": "9"
+ },
+ {
+ "day": "2014-01-30T00:00:00.000Z",
+ "count": "10"
+ },
+ {
+ "day": "2014-02-02T00:00:00.000Z",
+ "count": "28"
+ },
+ {
+ "day": "2014-02-03T00:00:00.000Z",
+ "count": "14"
+ },
+ {
+ "day": "2014-02-05T00:00:00.000Z",
+ "count": "1"
+ },
+ {
+ "day": "2014-02-08T00:00:00.000Z",
+ "count": "5"
+ },
+ {
+ "day": "2014-02-15T00:00:00.000Z",
+ "count": "30"
+ },
+ {
+ "day": "2014-02-23T00:00:00.000Z",
+ "count": "8"
+ },
+ {
+ "day": "2014-02-24T00:00:00.000Z",
+ "count": "1"
+ },
+ {
+ "day": "2014-04-26T00:00:00.000Z",
+ "count": "33"
+ },
+ {
+ "day": "2014-04-28T00:00:00.000Z",
+ "count": "23"
+ },
+ {
+ "day": "2014-04-30T00:00:00.000Z",
+ "count": "17"
+ },
+ {
+ "day": "2014-05-01T00:00:00.000Z",
+ "count": "7"
+ },
+ {
+ "day": "2014-08-17T00:00:00.000Z",
+ "count": "10"
+ },
+ {
+ "day": "2014-08-18T00:00:00.000Z",
+ "count": "15"
+ },
+ {
+ "day": "2014-08-19T00:00:00.000Z",
+ "count": "1"
+ },
+ {
+ "day": "2014-08-21T00:00:00.000Z",
+ "count": "16"
+ },
+ {
+ "day": "2014-08-22T00:00:00.000Z",
+ "count": "21"
+ },
+ {
+ "day": "2014-08-24T00:00:00.000Z",
+ "count": "8"
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+ "count": "1"
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+ "count": "1"
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+ "count": "8"
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+ "count": "3"
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+ "count": "2"
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+ "count": "2"
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+ "count": "4"
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+ {
+ "day": "2017-06-26T00:00:00.000Z",
+ "count": "16"
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+ {
+ "day": "2017-06-29T00:00:00.000Z",
+ "count": "6"
+ },
+ {
+ "day": "2017-06-30T00:00:00.000Z",
+ "count": "3"
+ },
+ {
+ "day": "2017-07-01T00:00:00.000Z",
+ "count": "12"
+ },
+ {
+ "day": "2017-07-02T00:00:00.000Z",
+ "count": "1"
+ },
+ {
+ "day": "2017-07-07T00:00:00.000Z",
+ "count": "1"
+ },
+ {
+ "day": "2017-07-10T00:00:00.000Z",
+ "count": "17"
+ }
+ ]
+ }
+}
diff --git a/tests/gabbar/filters/highway.js b/tests/gabbar/filters/highway.js
index bf5251b..19c2af7 100644
--- a/tests/gabbar/filters/highway.js
+++ b/tests/gabbar/filters/highway.js
@@ -41,3 +41,18 @@ test('Get samples with a name modification with forTraining', function (t) {
t.end();
});
+
+test('Get samples for changeset with a highway but is of geometry type node', function (t) {
+ let changesetPath = path.join(__dirname, '../../fixtures/changesets/50167186.json');
+ let changeset = JSON.parse(fs.readFileSync(changesetPath));
+
+ let actual;
+
+ actual = getSamples(changeset);
+ t.equal(actual.length, 0);
+
+ actual = getSamples(changeset, true);
+ t.equal(actual.length, 1);
+
+ t.end();
+});