From 398c6231d1e46a697f5e485fc9b19db4800d19b2 Mon Sep 17 00:00:00 2001
From: taitus <sebastia.roig@gmail.com>
Date: Thu, 11 Apr 2024 11:33:52 +0200
Subject: [PATCH] WIP: #run_machine_learning_scripts

---
 spec/models/machine_learning_spec.rb | 76 ++++++++++++++--------------
 1 file changed, 38 insertions(+), 38 deletions(-)

diff --git a/spec/models/machine_learning_spec.rb b/spec/models/machine_learning_spec.rb
index 2ae37871c32..b58c5703faf 100644
--- a/spec/models/machine_learning_spec.rb
+++ b/spec/models/machine_learning_spec.rb
@@ -377,44 +377,44 @@ def full_sanitizer(string)
     end
   end
 
-  # describe "#run_machine_learning_scripts" do
-  #   it "returns true if python script executed correctly" do
-  #     machine_learning = MachineLearning.new(job)
-  #
-  #     command = "cd #{MachineLearning::SCRIPTS_FOLDER} && python script.py 2>&1"
-  #     expect(machine_learning).to receive(:`).with(command) do
-  #       Process.waitpid Process.fork { exit 0 }
-  #     end
-  #
-  #     expect(Mailer).not_to receive(:machine_learning_error)
-  #
-  #     expect(machine_learning.send(:run_machine_learning_scripts)).to be true
-  #
-  #     job.reload
-  #     expect(job.finished_at).not_to be_present
-  #     expect(job.error).not_to be_present
-  #   end
-  #
-  #   it "returns false if python script errored" do
-  #     machine_learning = MachineLearning.new(job)
-  #
-  #     command = "cd #{MachineLearning::SCRIPTS_FOLDER} && python script.py 2>&1"
-  #     expect(machine_learning).to receive(:`).with(command) do
-  #       Process.waitpid Process.fork { abort "error message" }
-  #     end
-  #
-  #     mailer = double("mailer")
-  #     expect(mailer).to receive(:deliver_later)
-  #     expect(Mailer).to receive(:machine_learning_error).and_return mailer
-  #
-  #     expect(machine_learning.send(:run_machine_learning_scripts)).to be false
-  #
-  #     job.reload
-  #     expect(job.finished_at).to be_present
-  #     expect(job.error).not_to eq "error message"
-  #   end
-  # end
-  #
+  describe "#run_machine_learning_scripts" do
+    it "returns true if python script executed correctly" do
+      machine_learning = MachineLearning.new(job)
+
+      command = "cd #{MachineLearning::SCRIPTS_FOLDER} && python script.py 2>&1"
+      expect(machine_learning).to receive(:`).with(command) do
+        Process.waitpid Process.fork { exit 0 }
+      end
+
+      expect(Mailer).not_to receive(:machine_learning_error)
+
+      expect(machine_learning.send(:run_machine_learning_scripts)).to be true
+
+      job.reload
+      expect(job.finished_at).not_to be_present
+      expect(job.error).not_to be_present
+    end
+
+    it "returns false if python script errored" do
+      machine_learning = MachineLearning.new(job)
+
+      command = "cd #{MachineLearning::SCRIPTS_FOLDER} && python script.py 2>&1"
+      expect(machine_learning).to receive(:`).with(command) do
+        Process.waitpid Process.fork { abort "error message" }
+      end
+
+      mailer = double("mailer")
+      expect(mailer).to receive(:deliver_later)
+      expect(Mailer).to receive(:machine_learning_error).and_return mailer
+
+      expect(machine_learning.send(:run_machine_learning_scripts)).to be false
+
+      job.reload
+      expect(job.finished_at).to be_present
+      expect(job.error).not_to eq "error message"
+    end
+  end
+  
   # describe "#import_ml_proposals_comments_summary" do
   #   it "feeds the database using content from the JSON file generated by the machine learning script" do
   #     machine_learning = MachineLearning.new(job)